A step toward human-machine interfaces that function in the chaotic conditions of daily life, engineers at UC San Diego have developed a soft, AI-powered wristband that can interpret your arm motions even during intense activity and utilize them to control machines in real time.

Wearable technologies with gesture sensors work fine when a user is sitting still, but the signals start to fall apart under excessive motion noise, explained study co-first author Xiangjun Chen, a postdoctoral researcher in the Aiiso Yufeng Li Family Department of Chemical and Nano Engineering at the UC San Diego Jacobs School of Engineering. This limits their practicality in daily life. “Our system overcomes this limitation,” Chen said. “By integrating AI to clean noisy sensor data in real time, the technology enables everyday gestures to reliably control machines even in highly dynamic environments.”

For example, the technology could allow people with restricted mobility or patients undergoing rehabilitation to use robotic devices using natural gestures instead of using fine motor skills. The technology may be used by first responders and industrial workers to operate tools and robots without using their hands in hazardous or high-motion situations. Even under turbulent conditions, it might allow remote controllers and divers to control underwater robots. The approach could improve the dependability of gesture-based controls in commonplace consumer gadgets, reports UC San Diego.

Professors Sheng Xu and Joseph Wang of the UC San Diego Jacobs School of Engineering's Aiiso Yufeng Li Family Department of Chemical and Nano Engineering collaborated on the project.

This is the first wearable human-machine interface that functions consistently under a variety of motion disturbances, as far as the researchers are aware. It can therefore adapt to how individuals move in real life.

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The device is a cotton wristband with a soft electrical patch adhered to it. It combines a Bluetooth microprocessor, a stretchable battery, and motion and muscle sensors into a small, multi-layered system. A composite dataset of actual motions and situations, ranging from sprinting and shaking to the motion of ocean waves, was used to train the system. A specially designed deep-learning framework receives and processes signals from the arm, eliminates interference, deciphers the gesture, and sends a real-time instruction to operate a machine, like a robotic arm.

“This advancement brings us closer to intuitive and robust human-machine interfaces that can be deployed in daily life,” Chen said.

Several dynamic circumstances were used to test the system. The device was used by the subjects to operate a robotic arm while they were running, subjected to a variety of disruptions, and exposed to high-frequency vibrations. The Scripps Ocean-Atmosphere Research Simulator at UC San Diego's Scripps Institution of Oceanography, which replicated both lab-generated and actual sea motion, was used to evaluate the device under simulated ocean conditions. The system consistently provided precise, low-latency performance.

This research was initially motivated by the notion of assisting military divers in controlling underwater robotics. However, the scientists quickly discovered that motion-related interference wasn't limited to underwater settings. It is a prevalent issue in the wearable technology industry that has long restricted how well these systems function in daily life.

“This work establishes a new method for noise tolerance in wearable sensors,” Chen said. “It paves the way for next-generation wearable systems that are not only stretchable and wireless, but also capable of learning from complex environments and individual users.”

AT CES2026, JBL introduced five new pairs of earbuds across three different lines. First up are the Endurance Zone and Endurance Pace, two open-ear sports headphones from JBL's renowned Endurance series. These versions are made especially for athletes, allowing users to workout comfortably while maintaining unwavering performance and awareness. The JBL Sense Pro and JBL Sense Lite, two ear hook-style open earbuds with superior sound and comfort, are part of the brand's upcoming OpenSound portfolio. Lastly, the Soundgear CLIPS, ear clip-style earphones that also function as a fashion item, will double the size of the current Soundgear roster, which only includes the Soundgear Sense earbuds.

JBL Endurance Series

Endurance Zone

Like the brand's well-known Peak earbuds, the Endurance Zone earbuds use JBL OpenSound technology and a secure ear hook design with an adjustable memory wire for a snug, flexible fit. With an IP68 certification, a durable design, and a 32-hour battery life, they are designed to withstand any weather or exercise. You may even adjust the touch controls to your preferences with the JBL Headphones app. The Zones will retail for $179.95 this month on the company’s website and are available in white or black with gray, reports Christina Buff in Mashable.

Endurance Pace

The titanium memory wire neckband of the Pace open earbuds allows them to bend and flex without ever losing their shape, providing an even more secure fit for intense exercises. They are IP68-rated for sweatproof and waterproof protection, just like the Zone earphones. With directional audio and strong bass, OpenSound technology makes sure your music strikes strongly while maintaining your awareness of your surrounds. Although the battery lasts for a respectable 10 hours, you can extend it by four hours if necessary with a 10-minute Speed Charge. The Endurance Pace open earbuds are only available in black and will retail for $89.95 on JBL website this month.

JBL OpenSound Series

Sense Pro

The Sense Pros, the best open-ear headphones in JBL's collection, are designed for audiophiles who nevertheless wish to stay aware of their surroundings. With 16.2mm drivers, they employ cutting-edge air conduction technology and an Adaptive Bass Boost Algorithm for superior sound quality. In addition to having four microphones and JBL Voice Pickup Sensor technology for clear calls in noisy environments, they are designed for busy lifestyles. Spatial sound, wireless charging, and a battery life of up to 38 hours are further benefits. In March 2026, the JBL Sense Pro will retail for $199.95 in black or white.

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Sense Lite

The Sense Lites are essentially a scaled-down version of the Sense Pros, with more straightforward functions and looks. You will still have four microphones for clear calls, configurable touch controls, and Adaptive Bass Boost for strong sound in a sleek, comfy form that won't block your ear canals. The case holds somewhat less of a charge at 24 hours compared to 30, but the battery life is essentially the same. You will also save $50 with the reduced features. In March 2026, the JBL Sense Lite will retail for $149.95 in black, white, or purple.

JBL Soundgear CLIPS

The Soundgear CLIPS complement the current Sense earbuds in the Soundgear series. Like the Shokz OpenDots One, the CLIPS are the most stylish of the group and have a lightweight design that clips to your ear like an earring cuff. They are also available in four translucent colors. Your calls and music will stay private thanks to its SonicArc design, which places the speaker for improved bass performance with reduced sound leakage. You won't even notice that the Soundgear CLIPS aren't in your ear canals thanks to the Adaptive Bass Boost algorithm and four AI-enhanced microphones. In March 2026, JBL Soundgear CLIPS will retail for $149.95 in metallic copper, blue, purple, and white hues.

Northwestern University researchers have developed a wireless device that utilizes light to send information straight into the brain, marking a significant advancement in neurobiology and bioelectronics. Instead of using the body's conventional sensory pathways, the technology sends impulses directly to neurons.

The soft, flexible device rests on the head and fits under the scalp. From this position, it activates particular groups of neurons across the cortex by sending precisely regulated light patterns through the bone.

Light-Based Brain Signals in Animal Models

In order to excite specific populations of neurons deep within the brains of mice models, researchers employed small, precisely timed bursts of light. (These neurons have been genetically altered to react to light.) The mice rapidly acquired the ability to decipher specific patterns as significant indicators. According to Science Daily, the animals used the incoming information to make decisions and successfully complete behavioral tasks even in the absence of voice, sight, or touch.

Numerous medical applications may be supported by this technology in the future. Potential applications include manipulating robotic limbs, delivering artificial inputs for future hearing or vision prosthesis, aiding rehabilitation following injury or stroke, and altering pain perception without the need for medication.

Creating New Brain Signals With Micro-LED Technology

"Our brains are constantly turning electrical activity into experiences, and this technology gives us a way to tap into that process directly," said Northwestern neurobiologist Yevgenia Kozorovitskiy, who led the experimental portion of the study. "This platform lets us create entirely new signals and see how the brain learns to use them. It brings us just a little bit closer to restoring lost senses after injuries or disease while offering a window into the basic principles that allow us to perceive the world."

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John A. Rogers, a leading figure in bioelectronics and head of the technology development, said, "Developing this device required rethinking how to deliver patterned stimulation to the brain in a format that is both minimally invasive and fully implantable. By integrating a soft, conformable array of micro-LEDs -- each as small as a single strand of human hair -- with a wirelessly powered control module, we created a system that can be programmed in real time while remaining completely beneath the skin, without any measurable effect on natural behaviors of the animals. It represents a significant step forward in building devices that can interface with the brain without the need for burdensome wires or bulky external hardware. It's valuable both in the immediate term for basic neuroscience research and in the longer term for addressing health challenges in humans."

Training the Brain to Recognize Synthetic Patterns

The team used mice with light-responsive neurons in their cortex to test the device. The animals were trained to link a specific stimulation pattern to a reward, which is typically found at a designated port in a testing chamber.

The implant worked like tapping a coded message straight into the brain by delivering a predetermined pattern across four cortical regions during a series of studies. Among a variety of options, the mice were trained to recognize this target pattern. They found the right artificial signal and navigated to the right port to be rewarded.

"By consistently selecting the correct port, the animal showed that it received the message," Wu said. "They can't use language to tell us what they sense, so they communicate through their behavior."

Future Development and Wider Applications

The team intends to test increasingly complex patterns and find out how many different signals the brain can consistently learn now that they have shown that the brain can interpret patterned light stimulation as meaningful information. Future iterations of the gadget might include more LEDs, closer spacing between them, larger arrays that cover more cortex, and light wavelengths that reach deeper into tissue.

Columbia University researchers developed a postage stamp-sized silicon implant, called the BISC (Biological Interface System to Cortex), that reads brain signals and uses AI to decode them in real-time, allowing paralyzed individuals to control computers, send messages (like "emails"), and operate devices just by thinking, offering high-bandwidth, wireless brain-computer communication that's smaller, safer, and more powerful than previous methods.

"Most implantable systems are built around a canister of electronics that occupies enormous volumes of space inside the body," says Ken Shepard, who led the project’s engineering, and is Lau Family Professor of Electrical Engineering, professor of biomedical engineering, and professor of neurological sciences at Columbia University.

Shepard is on a team of researchers from the Columbia University School of Engineering and Applied Science and Stanford’s Enigma Project whose remarkable new BCI – the Biological Interface System to Cortex (BISC) – may offer permanent liberation, reports New Atlas.

Brett Youngerman, a Columbia assistant professor of neurological surgery and primary clinical collaborator, believes that the BISC is a significant improvement for patients who require somatic relief that a BCI should be able to deliver.

“The key to effective brain-computer interface devices is to maximize the information flow to and from the brain,” says Youngerman, “while making the device as minimally invasive in its surgical implantation as possible. BISC surpasses previous technology on both fronts."

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According to Youngerman, the paper-thin BISC can be inserted through a minimally invasive incision in the skull and slid directly onto the surface of the brain in the subdural space. Even better, the BISC has neither wires nor brain-penetrating electrodes, an improvement that reduces “tissue reactivity and signal degradation over time.

What, then, is the key to BISC's excellent design? BISC's future of mass production is made possible by semiconductors, a tried-and-true technology and manufacturing process.

"Semiconductor technology has made this possible,” says Shepard, because semiconductors allow miniaturization that shrinks the processing might of computers from the volume of multiple bank vaults to size of a single wallet. “We are now doing the same for medical implantables, allowing complex electronics to exist in the body while taking up almost no space."

The stamp-sized BISC can be implanted through a tiny incision in the skull because of its small size and thinness (despite including analog components for recording and stimulation, a wireless power circuit and power management, a radio transmitter, and digital control electronics). With a throughput of 100 Mbps, which is 100 times higher than any competing wireless BCI, its external relay station may link the BISC to any computer.

The BISC recognizes body movements, sensory data, brain states, and even intent by decoding high-bandwidth recordings using AI models. As Shepard explains, “By integrating everything on one piece of silicon, we've shown how brain interfaces can become smaller, safer, and dramatically more powerful.”

Motorola used CES 2026 to discreetly test the waters in the nascent AI companion hardware industry by showcasing a simple wearable that is intended to serve as a constant companion rather than a fully functional smart device. The product was introduced by Lenovo at its CES-related Lenovo World Tour events.

The device itself is compact and simple, more akin to a bulky pendant than a conventional device. It is suspended from a delicate necklace chain and has a shiny, pearl-like shell with gently rounded edges. A small camera lens and sensor array are placed at one end, while the Motorola emblem is subtly placed toward the center. There are no apparent buttons or displays, save from a small speaker slit and tiny pinhole microphones.

According to Mashable, Motorola stressed that the wearable is only an early proof-of-concept. The gadget, which is powered by Motorola's Qira AI assistant, is intended to function in concert with a paired smartphone rather than on its own.

During demos, the wearable summarized data, recognized and described items in the user's field of vision, and started navigation tasks by opening apps on a connected phone. In one instance, the device launched Google Maps and entered a route on its own, demonstrating a restricted type of agentic behavior as opposed to straightforward verbal responses.

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Without committing to a release date, Motorola seems to be gauging industry and consumer response. The wearable is still a long way from being commercially available, the business stated, indicating that any further developments will probably depend on market preparedness and technological advancement.

An exoskeleton created by academics at Peking University may eventually give divers a much-needed boost to their flutter kicks. The gadget may help extend the life of scuba tanks by relieving some of the strain of underwater swimming.

Although the action appears to be rather serene and soothing when one watches a diver glide through the water beneath the sea's surface, the technique truly works the legs, which are the largest muscle groups in the body. A diver's tank supplies the oxygen needed for all that muscle contraction. The typical lifespan of oxygen for a diver using an 80-cubic-foot tank at a depth of 65.6 feet is between 35 and 50 minutes, reports New Atlas.

Rather than concentrating on breathing apparatus, the PU researchers adopted a novel strategy to increase the amount of time a swimmer could stay beneath on a single scuba tank: reducing the energy used during swimming and, consequently, the oxygen required by the diver.

Their exoskeleton is made up of several components. The diver's back is equipped with two sealed motor units. These are attached to pliable Bowden cables that descend to lightweight handcuffs on the diver's shanks and thighs. The complete device, which mounts outside a diver's wetsuit, is stabilized by a waist strap.  The diver's back bears the majority of the system's weight, which is around 9 kg (20 lb).

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The sensors included into the system known as Inertial Measurement Units (IMUs), which relay the location of the legs to the motor, are the source of the exoskeleton's true magic. This enables the motor to detect the location of the diver's legs during the flutter kick and modify the force applied to the Bowden cables as necessary. The motor engages and helps with the motion during the kick's downstroke because of an integrated clutch. To prevent the device from interfering with the diver's recovery motion during the upstroke, the motor is disabled.

Six qualified divers were given an exoskeleton by the researchers to test the system in a 50-meter (164-foot) swimming pool at a depth of two meters (6.6 feet).  Each diver used a flutter kick to accomplish three 100-meter (328-foot) underwater swims, both with and without the exoskeleton and with and without its power.  The test showed remarkable results, with a 22.7% decrease in air intake and a slightly over 20% reduction in quadriceps and calf activity.

The researchers say more testing is needed to further refine the exoskeleton.

"Our work provides a reference for the design and assessment of future underwater assistive devices, with the potential to strengthen the connection between humans and the ocean and to broaden the horizons of exploration,” the researchers said.

We are excited to introduce Nutromics’ Lab-on-a-Patch®, a next-generation wearable designed to revolutionize medical diagnostics with real-time, continuous biomarker monitoring. This ultra-thin skin patch combines cutting-edge DNA-based biosensors and microneedle technology to deliver hospital-grade health insights without repeated blood draws. Unlike traditional diagnostics that provide only isolated data points, the Lab-on-a-Patch offers continuous, multiplexed monitoring of multiple biomarkers, bringing actionable health intelligence directly into everyday life.

Seamlessly integrated with wireless connectivity and cloud-ready data streams, the patch enables clinicians and health systems to receive real-time updates and personalize care. Whether in intensive care, emergency settings, or at home, it provides comfort, precision, and uninterrupted monitoring without compromise.

About Nutromics Lab-on-a-Patch‍

Created to transform healthcare wearables, the Lab-on-a-Patch redefines diagnostics by continuously tracking molecular targets - from drug levels to critical health indicators. By integrating advanced biosensing into a simple wearable patch, Nutromics is shaping a future where diagnostics are proactive, personalized, and seamlessly woven into daily health management.

UCLA engineers have developed a wearable, noninvasive brain-computer interface system that utilizes artificial intelligence as a co-pilot to help infer user intent and complete tasks by moving a robotic arm or a computer cursor.

Published in Nature Machine Intelligence, the study shows that the interface demonstrates a new level of performance in noninvasive brain-computer interface, or BCI, systems. This could lead to a range of technologies to help people with limited physical capabilities, such as those with paralysis or neurological conditions, handle and move objects more easily and precisely, reports UCLA.

The team developed custom algorithms to decode electroencephalography, or EEG — a method of recording the brain’s electrical activity — and extract signals that reflect movement intentions. They paired the decoded signals with a camera-based artificial intelligence platform that interprets user direction and intent in real time. The system allows individuals to complete tasks significantly faster than without AI assistance.

“By using artificial intelligence to complement brain-computer interface systems, we’re aiming for much less risky and invasive avenues,” said study leader Jonathan Kao, an associate professor of electrical and computer engineering at the UCLA Samueli School of Engineering. “Ultimately, we want to develop AI-BCI systems that offer shared autonomy, allowing people with movement disorders, such as paralysis or ALS, to regain some independence for everyday tasks.”

State-of-the-art, surgically implanted BCI devices can translate brain signals into commands, but the benefits they currently offer are outweighed by the risks and costs associated with neurosurgery to implant them. More than two decades after they were first demonstrated, such devices are still limited to small pilot clinical trials. Meanwhile, wearable and other external BCIs have demonstrated a lower level of performance in detecting brain signals reliably.

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To address these limitations, the researchers tested their new noninvasive AI-assisted BCI with four participants — three without motor impairments and a fourth who was paralyzed from the waist down. Participants wore a head cap to record EEG, and the researchers used custom decoder algorithms to translate these brain signals into movements of a computer cursor and robotic arm. Simultaneously, an AI system with a built-in camera observed the decoded movements and helped participants complete two tasks.

In the first task, they were instructed to move a cursor on a computer screen to hit eight targets, holding the cursor in place at each for at least half a second. In the second challenge, participants were asked to activate a robotic arm to move four blocks on a table from their original spots to designated positions.

All participants completed both tasks significantly faster with AI assistance. Notably, the paralyzed participant completed the robotic arm task in about six-and-a-half minutes with AI assistance, whereas without it, he was unable to complete the task.

The BCI deciphered electrical brain signals that encoded the participants’ intended actions. Using a computer vision system, the custom-built AI inferred the users’ intent — not their eye movements — to guide the cursor and position the blocks.

“Next steps for AI-BCI systems could include the development of more advanced co-pilots that move robotic arms with more speed and precision, and offer a deft touch that adapts to the object the user wants to grasp,” said co-lead author Johannes Lee, a UCLA electrical and computer engineering doctoral candidate advised by Kao. “And adding in larger-scale training data could also help the AI collaborate on more complex tasks, as well as improve EEG decoding itself.”

The paper’s authors are all members of Kao’s Neural Engineering and Computation Lab, including Sangjoon Lee, Abhishek Mishra, Xu Yan, Brandon McMahan, Brent Gaisford, Charles Kobashigawa, Mike Qu and Chang Xie. A member of the UCLA Brain Research Institute, Kao also holds faculty appointments in the Computer Science Department and the Interdepartmental Ph.D. Program in Neuroscience.

The research was funded by the National Institutes of Health and the Science Hub for Humanity and Artificial Intelligence, which is a collaboration between UCLA and Amazon. The UCLA Technology Development Group has applied for a patent related to the AI-BCI technology.

Haifa, Israel-based Rambam Eye Institute's Cornea Unit performed the world’s first transplantation of a fully 3D-bio-fabricated, cell-based corneal implant. The procedure was carried out on a patient who was legally blind in the treated eye, marking the first time anywhere that a corneal implant grown entirely from cultured human corneal cells, rather than donor tissue, has been successfully transplanted in a human being. In this instance, a single cornea from a healthy, deceased donor was cultured in the lab to create and print an additional 300 corneal implants.

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The implant was manufactured by Precise Bio, an Israeli regenerative medicine company that is developing advanced bio-fabricated tissues using human cells and 3D printing technology. Their platform produces a layered, transparent corneal structure designed to replicate the clarity and function of a healthy human cornea. The successful surgical implantation at Rambam represents a major step toward addressing the global shortage of donor corneas, which prevents millions of people worldwide from receiving sight-restoring treatment, reports Rambam Health Care.

Professor Michael Mimouni, Director of the Cornea Unit in the Department of Ophthalmology at Rambam, led the surgical team. He explains “For the first time in history, we’ve witnessed a cornea created in the lab, from living human cells, bring sight back to a human being. It was an unforgettable moment—a glimpse into a future where no one will have to live in darkness because of a shortage of donor tissue. This is a game changer.”

Rambam noted its technology could also be used to print cardiac tissue, and liver and kidney cells. Naturally, that'll need to be validated and trialed extensively before it can be commercialized, but this could spell relief for so many patients who need organ transplants where supply is constrained, in the coming years.

A noninvasive method for measuring blood glucose levels, developed at MIT, could save diabetes patients from having to prick their fingers several times a day.

The MIT team used Raman spectroscopy — a technique that reveals the chemical composition of tissues by shining near-infrared or visible light on them — to develop a shoebox-sized device that can measure blood glucose levels without any needles, reports Anne Trafton in MIT News.

In tests in a healthy volunteer, the researchers found that the measurements from their device were similar to those obtained by commercial continuous glucose monitoring sensors that require a wire to be implanted under the skin. While the device presented in this study is too large to be used as a wearable sensor, the researchers have since developed a wearable version that they are now testing in a small clinical study.

“For a long time, the finger stick has been the standard method for measuring blood sugar, but nobody wants to prick their finger every day, multiple times a day. Naturally, many diabetic patients are under-testing their blood glucose levels, which can cause serious complications,” says Jeon Woong Kang, an MIT research scientist and the senior author of the study. “If we can make a noninvasive glucose monitor with high accuracy, then almost everyone with diabetes will benefit from this new technology.”

MIT postdoc Arianna Bresci is the lead author of the new study, which appears today in the journal Analytical Chemistry.

Noninvasive glucose measurement

While most diabetes patients measure their blood glucose levels by drawing blood and testing it with a glucometer, some use wearable monitors, which have a sensor that is inserted just under the skin. These sensors provide continuous glucose measurements from the interstitial fluid, but they can cause skin irritation and they need to be replaced every 10 to 15 days.

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In hopes of creating wearable glucose monitors that would be more comfortable for patients, researchers in MIT’s LBRC have been pursuing noninvasive sensors based on Raman spectroscopy. This type of spectroscopy reveals the chemical composition of tissue or cells by analyzing how near-infrared light is scattered, or deflected, as it encounters different kinds of molecules.

Typically, a Raman spectrum may contain about 1,000 bands. However, the MIT team found that they could determine blood glucose levels by measuring just three bands — one from the glucose plus two background measurements. This approach allowed the researchers to reduce the amount and cost of equipment needed, allowing them to perform the measurement with a cost-effective device about the size of a shoebox.

“By refraining from acquiring the whole spectrum, which has a lot of redundant information, we go down to three bands selected from about 1,000,” Bresci says. “With this new approach, we can change the components commonly used in Raman-based devices, and save space, time, and cost.”

Toward a wearable sensor

In a clinical study performed at the MIT Center for Clinical Translation Research (CCTR), the researchers used the new device to take readings from a healthy volunteer over a four-hour period. As the subject rested their arm on top of the device, a near-infrared beam shone through a small glass window onto the skin to perform the measurement.

Each measurement takes a little more than 30 seconds, and the researchers took a new reading every five minutes.

During the study, the subject consumed two 75-gram glucose drinks, allowing the researchers to monitor significant changes in blood glucose concentration. They found that the Raman-based device showed accuracy levels similar to those of two commercially available, invasive glucose monitors worn by the subject.

Since finishing that study, the researchers have developed a smaller prototype, about the size of a cellphone, that they’re currently testing at the MIT CCTR as a wearable monitor in healthy and prediabetic volunteers. Next year, they plan to run a larger study working with a local hospital, which will include people with diabetes.

The researchers are also working on making the device even smaller, about the size of a watch. Additionally, they are exploring ways to ensure that the device can obtain accurate readings from people with different skin tones.

The research was funded by the National Institutes of Health, the Korean Technology and Information Promotion Agency for SMEs, and Apollon Inc.

Engineers and obstetricians at Monash University have invented a wearable Band-Aid-like patch to track a baby’s movements through the mother’s abdomen, offering a new way to support safer pregnancies from home.

The study, published in Science Advances, presents a thin 10-14 cm² and lightweight patch that can detect fetal movements such as rolling, stretching and kicking. In a clinical trial of 59 pregnant women at Monash Health, it detected binary fetal movements with more than 90 per cent accuracy within an in-hospital trialing setting, reports Monash University.

Self-monitoring of fetal movement is still limited. At home, most pregnant women rely on self-counting, which can cause uncertainty or stress.

Associate Professor Vinayak Smith, from Monash University’s Department of Obstetrics and Gynecology, said the new soft wearable aims to fill this gap by providing continuous, non-invasive self-monitoring.

“Fetal movements tell us a lot about how a baby is doing, but right now we don’t have an easy, comfortable way to monitor them continuously outside the hospital. Our soft wearable is designed to change that,” Associate Professor Smith said.

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“We’ve built a lightweight and flexible device that pregnant individuals can comfortably wear for long periods without disrupting daily life.”

Co-corresponding author Dr Fae Marzbanrad, head of the Biomedical Signal Processing Research Lab at Monash Engineering, said the device’s strength lies in the combination of soft materials and intelligent signal processing and AI.

“Different fetal movements create distinct strain patterns on the abdominal surface, and these are captured by the two sensors. The machine-learning system uses these signals to detect when movement occurs while cancelling maternal movements.” Dr Marzbanrad said.

“By integrating sensor data with AI, the system automatically captures a wider range of fetal movements than existing wearable concepts while staying compact and comfortable.”
The research team first evaluated the sensors using artificial 2D and 3D abdominal models, testing how well they could detect simulated kicks from different directions and depths.

The device was then trialed on 59 pregnant women. Two patches were placed on the abdomen, and ultrasound was used as the reference standard while the researchers trained and tested the machine-learning model that interprets movement signals.

“Reduced fetal movement is one of the most common reasons patients present to hospital, yet we rely heavily on self-reporting. A comfortable, continuous monitor has real potential to give us clearer information and help expectant parents feel more confident between appointments. This is a promising tool for maternity care,” Associate Professor Smith said.

The authors emphasized the technology was not intended to replace clinical assessments, but could complement standard care, help parents feel more informed, and support earlier intervention when movement patterns change.

Next steps include larger clinical trials in out-of-hospital settings to validate the findings and pathways toward regulatory approval for use in home or community settings.

The project was initially funded by the Monash Institute of Medical Engineering (MIME) and reflects a deeply multidisciplinary effort spanning nanotechnology, engineering, IT, and clinical practice, highlighting how coordinated work across a large team has been essential to the outcomes achieved so far.

Boston-based wearable health company Lumia has raised $7 million to commercialize Lumia 2, its new generation of smart earrings that monitor blood flow in real time. With an additional $5.1 million in government contracts and grants, the company’s total funding has reached $17.2 million.

The Lumia 2 earrings weigh less than one gram and can be worn as studs, cuffs, or huggie hoops. Made from non-allergenic materials such as platinum and titanium, the earrings come in gold, silver, and clear finishes. The cuff version of the gadget can be worn without a piercing, while the SwitchBack version attaches to regular push-back earrings. Every smart earring has continuous blood flow monitoring in addition to measuring sleep, temperature, menstrual cycle, and preparedness.

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“This is what comes after smart rings,” said Daniel Lee, co-founder and CEO of Lumia. “Just as Oura made rings smart, we’ve made earrings smart. Smart Earrings are the ultimate wearable form factor with new capabilities possible only in the ear.”

Additionally, Lumia asserts that the single "active" earring, which weighs only 1 gram and is one-fifth the size of an AirPod, is the smallest wearable in the world.  Although that seems like something I would lose right away, it appears that the technical team took that into consideration because the earrings include a back-locking mechanism that keeps them extremely safe, reports New Atlas.

They are made to be worn 24/7, whether you're taking a shower, working out, or sleeping.  Because the device uses modular swappable batteries that are simple to remove and replace, charging can even be done without removing them.  When compared to most wearables, a single battery pack lasts five to eight days.

You might think that, due to its design, the Lumia 2 is aimed only at women, but that’s not quite true.

“Like Oura Ring, the large majority of our members are women and going to continue to be even more so as we lean into Smart Earrings. However, we do have the ear cuff option that doesn't require a piercing, which we will offer in a matte titanium and clear color to be very discreet. The clear cuff is what I personally wear as a dude.

So yes, it'll be more popular with women but will not be exclusively for women – we will offer cool options for men as well,” Daniel said.
The wearable can only be used with a membership, which costs US$9.99 a month and grants you access to all of the features and free hardware upgrades. The Lumia 2 itself is anticipated to retail at $249.  Through the corporate website, you can book a set that includes one matching inactive earring and one active earring.

PhysioBiometrics Inc. has launched Heel2Toe, a wearable therapeutic device designed to assess and train older adults to walk with a proper gait, which is essential to reduce strain on joints and muscles, help prevent falls, and make walking easier to stay active and independent.

The Heel2Toe sensor attaches to the side of a shoe and beeps with each "good" step – one that begins with a strong heel strike. Heel2Toe has proven beneficial for older adults, including those with orthopedic or neurological conditions such as Parkinson's disease. It is believed to be the only wearable that provides real-time feedback for every step, Age-Well said in a press release.

"Many older adults do not walk well enough to gain health benefits from walking. Out of a fear of falling or low confidence in their walking, they often change their gait and take little shuffling steps that increase their fall risk," explained Dr. Nancy Mayo, President and CEO of Montreal-based PhysioBiometrics. "Heel2Toe is a game-changer for helping older adults age well because when your gait is better, you can walk farther. By intervening early enough to correct poor gait, older adults reduce fall risk, increase physical activity, improve joint and muscle health, and ultimately stay in their homes longer."

An optimal gait starts with a strong heel strike, followed by placing the foot flat, pushing off, swinging the leg, and repeating the process with little stride variability. With poor gait, people tend to shuffle – they don't put their heel down first, don't lift their foot, and the foot scuffs, increasing the risk of tripping. Gait tends to deteriorate in older adults due to neurological or orthopedic conditions, psychomotor slowing, and fear of falling.

Related Smart Insoles Accurately Measure Forces Created by Foot

"Essentially, Heel2Toe harnesses the power of the brain to change gait from the top down, so individuals re-learn to walk optimally," said Dr. Mayo, a Distinguished James McGill Professor in the Department of Medicine and the School of Physical and Occupational Therapy at McGill University. "Clients say that once they start using the sensor, they continue to 'hear' the beep even when not wearing it. They know which foot movement produces the sound."

Heel2Toe is a therapy tool that can be used independently at home with instructional videos, an exercise book and a web-based dashboard showing walking analytics, or under a therapist's supervision. Its three embedded inertial measurement units accurately assess walking patterns across the gait cycle. When a step begins with a strong heel strike, it provides positive, real-time auditory feedback, training an optimal gait. Focused practice – six minutes, twice a day – is recommended for best results.

Tamila Barab, an active 81-year-old retired Nurse Practitioner who now volunteers, recently had several falls, including one in her retirement residence hallway where she stepped toe-first and caught her foot on the flooring. She joined a PhysioBiometrics study in summer 2025 testing the independent use of Heel2Toe at home for one month. With the device, she learned to walk heel first.

"When I walk now, I'm conscious of going from heel to toe – I hear that voice in my head," said Ms. Barab, who continues to practice with Heel2Toe. "I find walking much easier this way, and I have more confidence in my walking."

A pilot study in individuals with Parkinson's found greater gait improvements with home training with the Heel2Toe device as compared to exercise recommendations alone. Walking capacity was the primary outcome: 13 of 14 participants in the Heel2Toe group improved on the six-minute walk test, while none of seven in the exercise-only group did.

PhysioBiometrics is also using the Heel2Toe as part of its Walk-BEST Program – an in-person group training program combined with at-home practice. The program is currently offered to older adults in the Montreal area.

About AGE-WELL

AGE-WELL is Canada's Technology and Aging Network. As a dynamic pan-Canadian network with global reach, AGE-WELL has mobilized a vast community of researchers, older adults, caregivers, partner organizations and future leaders to accelerate the delivery of technology-based solutions that make a meaningful difference in the lives of older Canadians and their caregivers. AGE-WELL's groundbreaking programs are funded by the Government of Canada through Innovation, Science and Economic Development Canada, Health Canada, and the Canadian Institutes of Health Research.

As Anduril displays its new AI-powered helmet system, it appears that the soldier of the future has arrived a little early.  In addition to providing warriors with extraordinary senses, it also makes them nodes in a cutting-edge data communications network.

Anduril’s new EagleEye helmet is an independently researched and developed, modular, AI-powered family of systems that unifies command and control, digital vision, and survivability within a single, adaptive architecture, reports Anduril.

EagleEye is a consequential step toward realizing Anduril’s vision of turning every warrior into a connected node on the battlefield. It consolidates mission planning, perception, and control of unmanned assets into a lightweight system that reduces weight and cognitive load while improving protection.

Anduril is already delivering the Army’s Soldier Borne Mission Command (SBMC) and Soldier Borne Mission Command–Architecture (SBMC-A) programs. Together, SBMC and SBMC-A form a mixed-reality platform that equips U.S. Army Soldiers with integrated situational awareness, mission planning, and training tools to improve decision-making and mobility. EagleEye builds on these advances, pairing mission command software with a heads-up display (HUD) and helmet-native hardware for balance, protection, and battlefield effectiveness.

Related Lockheed Martin to Use Red 6’s AR-Powered Helmet

“We don’t want to give service members a new tool—we’re giving them a new teammate,” said Palmer Luckey, Anduril’s founder. “The idea of an AI partner embedded in your display has been imagined for decades. EagleEye is the first time it’s real.”

Mission Planning

EagleEye enables mission command through a high-resolution, collaborative 3D sand table. Operators can rehearse missions, coordinate movements, and integrate live video feeds pinned to terrain. This creates a shared operational picture before and during the mission.

Enhanced Perception

The HUD enhances the operator’s view by overlaying digital information onto the real world, delivering vital contextual insights. EagleEye includes both an optically transparent daytime HUD and a digital night-vision HUD, each purpose-built for its environment. The system’s advanced approach to blue force tracking enables warfighters to know the precise location of teammates in world space, such as their exact position within a building or on a specific floor, rather than simply appearing as a dot on a 2D map. With Anduril’s Lattice network of distributed sensors, the system fuses real-time feeds from across the battlespace, allowing operators to detect and track threats even when terrain or structures block direct line of sight.

Heightened Survivability

EagleEye provides beyond-full-cut ballistic protection and blast wave mitigation in an ultralightweight shell designed for long wear. Rear- and flank-view sensors expand awareness without distraction. Spatial audio and radio frequency (RF) detection add layers of protection, alerting operators to hidden or immediate threats.

Edge Connectivity

EagleEye consolidates soldier networking and command tools into a body-worn system. Operators can task unmanned aerial vehicles (UAS), call for fires, and control robotic teammates while staying mobile. Lattice mesh networking ensures resilient command and control in denied, degraded, intermittent, or limited (DDIL) environments.

Designed with the Warfighter in Mind, for the Warfighter’s Demands

EagleEye is built from the ground up with ergonomic form factors modular add-ons, and a software-first architecture. Configurations include helmet, visor, and glasses variants. The system balances weight, reduces the bulk of traditional night vision goggles (NVGs), and keeps sensors aligned with the warfighter’s center of gravity. The totality of these attributes make EagleEye a standard-setting technology meant to perform to the requirements of military operations.

By partnering with commercial leaders such as Meta, OSI, Qualcomm Technologies, Inc., and Gentex Corporation, who have invested billions in augmented reality, rugged eyewear, compute, sensing, and ballistic helmets, Anduril brings proven technology directly into defense. This approach lowers cost, accelerates development, and ensures a path to continuous upgrade.

EagleEye equips dismounted operators with the ability to plan, fight, and survive while connected to every asset in the battlespace. As part of the Lattice ecosystem, EagleEye ensures persistent connectivity and control in any environment.

With just a few weeks to go, the submission and finalization deadline (January 9, 2026) for the 1^st Hong Kong MedTech Innovation World Cup® is approaching fast! This competition is hosted at the WT | WEARABLE TECHNOLOGIES Conference 2026 in Hong Kong.

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SUBMIT AND FINALIZE YOUR SUBMISSION NOW!

The Hong Kong MedTech Innovation World Cup brings together the world’s most ambitious innovators in patient treatment, rehabilitation, and health monitoring. It’s where breakthrough ideas meet global visibility, high-value partners, and real market momentum.

By entering, startups and scaleups gain a direct pathway to becoming one of the Top 10 Health Techpreneurs 2026, and with it, the opportunity to showcase their solution live at the grand finals during the WT | WEARABLE TECHNOLOGIES Conference on March 4 & 5, 2026 in Hong Kong.

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What’s in for you:

• ‍Unlock Asia – Bypass barriers and gain immediate, direct access to the booming Asian healthcare ecosystem.

• Amplify Visibility & Scale – Showcase your solution on a global stage, attract exclusive funding, and exponentially grow your impact.

• Fund Your Future: Meet investors actively deploying capital in HealthTech.

• Scale Without Borders: Go from local startup to regional player.

• Navigate Regulatory Landscapes – Gain insider knowledge on compliance and approvals to launch your product across Asian borders without the red tape.

All complete submissions will be evaluated based on criteria like innovation level, technological feasibility, marketing and go-to-market approach, time-to-market, and sustainability.

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What awaits?

Not just exposure by being part of the prominent finals pitch but also one-on-one connections with tech experts, potential investors, extensive media coverage, speaking engagements, and much more.

Finalists and winners will receive extensive support, including:

• Fast Track to the HKSTP 1-year soft-landing program, offering up to HKD 100,000 cash funding, access to co-working space, and business support from HKSTP.

• Free consultation from HKSTP partners on Hong Kong business setup.

• Go-To-Market Strategies 101 Workshop: Winners will learn how to leverage Google Ads solutions to grow their business and expand into new markets.

• Consultation for Grand Prix Winner: Google will provide a personalized consultation, using data-driven insights to help the winner prioritize a target market and identify growth opportunities.

• A showcase at an WT | Wearable Technologies event in 2026 – the organizer of the No.1 Wearable Technologies Conference Series in the world.

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Hong Kong's Pivotal Role in MedTech Innovation

Dr Simon Cua, Chairman of MEIC, said, “We are proud to host this competition that puts innovation, collaboration, and entrepreneurship at the heart of healthcare. With strong R&D capabilities, manufacturing excellence, and international connectivity, Hong Kong is ideally positioned to drive next-generation MedTech breakthroughs that can improve lives around the world.”

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About the Organizers and Partners

The Hong Kong MedTech Innovation World Cup is powered by the Medical and Healthcare Devices Industries Committee (MEIC) of the Federation of Hong Kong Industries and Time Interconnect Technology Limited.

About Medical Engineering & Innovation Council (MEIC): MEIC was established in January 2025 to foster innovation and translation in medical technology among Hong Kong industries. The Council facilitates information sharing to enhance members' understanding of the latest innovations and investment opportunities in medical engineering. It also serves as a bridge to connecting industry with government, industry, research, academia, and financiers for the sharing of services and information, facilitating product commercialisation. Additionally, the Council actively builds industry networks to gather relevant industries' participation and promote awareness of Hong Kong's strengths and capabilities in medical engineering in both domestic and overseas markets. The Council is also committed to strengthening regional cooperation and development, assisting traditional industries in transformation, fostering integration of supply chains between the Chinese mainland and Hong Kong, and exploring overseas market opportunities.

About TIME Interconnect Technology Limited: TIME Interconnect Technology Limited is a well-established supplier of customised interconnect solutions with over 30 years of industry experience. The Group is headquartered in Hong Kong and has manufacturing facilities in Shanghai, Suzhou, Jiangxi, and Huizhou, the PRC, Japan, and Mexico. The Group currently manufactures and supplies a wide variety of copper and optical fibre cable assemblies, digital cable products, medical products, and servers. Its products are used by a number of established PRC and international customers in various scenarios, including telecommunications, data centres, industrial equipment, medical equipment, automotive wire harnesses, digital cables, and servers.

We are excited to introduce the AS6223, a breakthrough in digital temperature sensing that is redefining what is possible for wearable health devices. About the size of a poppy seed, this sensor delivers ±0.09 °C accuracy in a footprint of just 0.82 mm × 0.82 mm, making continuous on-skin temperature monitoring easier and more practical than ever.

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Why it’s innovative‍

When components shrink below one square millimeter, wearables become lighter, less obtrusive, and more practical. The AS6223 combines this miniaturization with ultra-low power consumption, factory calibration, and integrated linearization — enabling precision where it matters most: in everyday life. From smartwatches and rings to medical patches, this sensor empowers designers to create devices that seamlessly blend into daily routines while delivering medical-grade accuracy.‍

• Watch the video to see how AS6223 supports smarter health monitoring
• Learn more about the product

About ams OSRAM‍

The ams OSRAM Group (SIX: AMS) is a global leader in innovative light and sensor solutions, combining over 110 years of engineering excellence with a passion for cutting-edge technology. Headquartered in Premstaetten, Austria, and Munich, Germany, the group drives transformative advancements across automotive, industrial, medical, and consumer industries. Learn more here.

Researchers have created a completely transparent skin sensor that detects light and transforms it into electrical signals to quantify UV radiation precisely. Therefore, the user's smartphone will notify them when the Sun's rays are dangerously strong and it's time to cover up.

A group of researchers at Kyung Hee University in South Korea, under the direction of Professor Kang Sung-jun, have developed a see-through, highly effective sensor that can identify ultraviolet A (UVA) exposure.  Although there are three types of ultraviolet (UV) radiation based on their wavelengths—UVA, UVB, and UVC—UVA is the most harmful since it penetrates deeply into our skin and avoids the ozone layer. Additionally, UVA radiation can cause wrinkles, early aging, and some types of skin cancer since they penetrate deeper into the skin, reports Bronwyn Thompson in New Atlas.

Although sun-detecting devices are not new, the researchers point out that only a small amount of transmitted UVA radiation penetrates through the sensor, making opaque wearables unable to estimate the quantity effectively. Additionally, it makes it challenging to integrate this technology with already-existing gadgets like smart glasses. The sensor's lightweight design allows it to be integrated into watches, bracelets, and apparel.

“If it is applied to smartwatches or fitness bands in the future, ultraviolet management will be possible even during everyday outdoor activities,” noted the researchers. “It will greatly help prevent skin cancer and support skin health management.”

Read more Hydrosense: Next-Generation Sweat Sensor

The researchers added see-through oxide semiconductors that only reacted to UVA light after starting assembly with a clear glass basis.  Lastly, the tiny detector's electrical circuit was supplied via a transparent indium tin oxide sheet, making it simple to integrate with other wearables already on the market.

The team connected the device to a circuit board with an amplifier – to boost faint UVA signals – and a Bluetooth chip to send real-time data to a user's smartphone.
Both clear and overcast days were used to test the UVA-detector prototype in the sun, and the results matched those of professional UV monitoring equipment. The user's smartphone then received the UVA data, computed the cumulative exposure, and alerted the wearer when the levels hit 80% of what is needed to burn. This caution functions as a message that it's time to apply extra sunscreen or take cover.

The research was published in the journal Science Advances.

SomaTX Design has introduced KneeMo, the first smart wearable designed specifically to relieve knee pain during movement and improve muscle function. Co-created by Dr. Tom Andriacchi, Professor Emeritus at Stanford University, KneeMo represents a breakthrough in non-invasive pain management for people with chronic knee conditions.

Unlike standard braces that simply support or compress the joint, KneeMo actively uses motion-sensing technology and vibration therapy to reduce pain in real time. The device senses motion and applies intermittent vibration to the knee timed to movement, disrupting pain signals before they reach the brain through a mechanism known as gated pain theory.

The inspiration for KneeMo came from a fundamental question: could we move beyond passive support and actually change how people experience knee pain while in motion? What makes KneeMo unique is that it isn't just an idea—it's been rigorously developed and clinically tested at Stanford University in peer-reviewed trials.

Peer-reviewed clinical studies conducted in the BioMotion Laboratory at Stanford University in individuals with chronic knee pain showed that KneeMo reduces pain during walking and navigating stairs while enhancing quadriceps muscle function. By recruiting the muscles around the knee at just the right phase of gait, it trains the knee, allowing it to work better, build muscle, and alleviate pain.

Related Exoskeleton with Swappable Knee and Hip Modules

The device is lightweight, customizable, and works without the risks of medication or surgical procedures. By reducing discomfort, KneeMo allows users to move freely and stay engaged in their favorite activities, helping them preserve independence and avoid the physical and mental consequences of a sedentary lifestyle.

KneeMo officially launched in 2025 after a soft launch in 2024. The technology is particularly beneficial for people with arthritis, those recovering from knee injuries, and anyone experiencing chronic knee pain that limits their daily activities. Early users have reported immediate noticeable pain relief and the ability to return to activities they had previously given up.

SomaTX Design Inc. is a health technology company dedicated to enhancing mobility and improving the quality of life for individuals with musculoskeletal pain through innovative, non-invasive solutions. The company believes that staying active is essential for joint health and overall wellness and is dedicated to developing products that provide pain relief in motion.

Shanghai-based tech company Hypershell unveiled all-new X Ultra performance exoskeleton, which is designed for bigger adventures, longer distances and heavier loads. The X Ultra is what the performance exoskeleton pioneer calls its best model to date. You may hike, run, climb, clamber, ski, and pedal for up to 65 km (40 miles) with the revolutionary wearable, which increases performance by channeling a full 1,000 watts into your natural gait. This reduces tiredness and leaves you feeling refreshed upon arrival.

The main criticism of performance-enhancing technology, such as electric bikes, is that people are using them as a shortcut to get around the harsh demands of physical labor. But what if, in the end, you're leveraging the technology to create more daring excursions that still test your physical limits, pushing you farther, deeper, and more intense than you could without it? Hypershell specifically developed the X Ultra with the intention of achieving this aim, which is what it envisions its users doing with its wearable exoskeletons, reports New Atlas.

Regarding the ebike comparison, the majority of US states adopt the federal government's definition, which restricts the term "ebike" to bikes with 750 watts of motor assistance or less.  Beyond that, you're discussing motorbikes and mopeds that are subject to stricter regulations.

Even more stringent is the European Union. EU nations continue to limit street-legal e-bikes to 250 watts, despite continuous debate over raising the ceiling to the same 750 watts.

Therefore, compared to a law-abiding American e-bike, the X Ultra sends 33% more power into your raw legs.  If you're in Europe, it's 400% more.

Related Exoskeleton with Swappable Knee and Hip Modules

In addition to fine-tuning output more accurately than previous Hypershell exos, the AI-powered X Ultra adds two brand-new profiles, bringing the total number of activity/purpose-targeted possibilities to 12.  Assistance is optimized for the especially soft, loose, and unstable conditions seen in sand and snow, respectively, thanks to the new Dune and Snow profiles. Additionally, Hypershell improves the running and cycling profiles to Running+ and Cycling+, with Cycling+ better adjusting effort for steep climbs and Running+ optimizing output for all-out sprints.

Beyond those new additions, the X Ultra carries over preexisting options like walking, gravel, uphill, downhill and stair profiles. Users can further adjust output based on eco, transparent, fitness and hyper modes, according to New Atlas.

A lighter, sleeker design that reduces weight by 10% over the current 2-kg (4.4-lb) X Pro is the last component of the new X Ultra equation.  Hypershell packs in more features and an additional 200 watts of motor power while maintaining the X Ultra's flat 4 lb (1.8 kg) weight thanks to a combination of precision 3D-formed titanium alloy and SpiralTwill 3000 carbon fiber.

When cycling, the X Ultra's e-assisted range can reach up to 65 km (40.4 miles) per battery, and when walking, it can reach up to 30 km (18.6 miles).  When we last looked at the X Pro, the range was 35 walking kilometers (21.7 miles) per charge. However, that was only for the two batteries that were included; each cell has a range of 17.5 km (10.9 miles), meaning the X Ultra has more than 70% longer range.

With two batteries included, the X Ultra doubles those estimations to 130 km (80.8 miles) by bicycle or 60 km (37.3 miles) by foot if you have the spare.  The top speed is 15.5 mph (25 km/h).

Naturally, all of that improved performance comes at a higher cost. The X Ultra costs US$1,999, which is double the X Pro's current Amazon Prime Day pricing of $999, which was valid through Thursday, October 9.

We are excited to introduce the SOMA system from OptoBio, a next-generation wearable and implantable solution designed to transform the way we treat cancer. Sleek, discreet, and built for everyday life, SOMA merges minimally-invasive implant technology with a wearable over-ear module, offering continuous, bioelectronic therapy without interrupting your routine.

Unlike treatments that tie you to hospital stays or scheduled infusions, SOMA brings targeted care directly into your daily life. With a discreet implant the size of a shirt button, ultrathin bio-threads, and an over-ear wearable that powers and monitors the system, you can receive precision therapy while remaining present in the moment.

Seamlessly integrated with the SOMA app and clinician interface, the system enables real-time data sharing, personalized adjustments, and continuous monitoring. Whether at home, at work, or on the go, it provides freedom, style, and advanced therapy without compromise.

About SOMA

Created to enhance human wellbeing through wearable and implantable healthcare technology, the SOMA system fuses design and intelligence into one seamless experience. By bringing advanced neuro-electronic and bioanalytic features into everyday therapy, OptoBio redefine how we treat, monitor, and live with cancer.