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A concept for an ear cuff-type device that detects breathing rate, heart rate, blood pressure, and whole-body movement without making the wearer conscious of its presence
Brillar Inc. (hereinafter Brillar), celebrating its 8th anniversary this year with the concept of “Moissanite high jewelry that can be passed down to future generations,” has jointly filed a patent application in Japan with Kyoto University (hereinafter Kyoto University) for an ear cuff-type wearable device incorporating a radar sensor.
This invention combines radar sensing and signal processing technologies developed by the research group of Professor Takuya Sakamoto, Department of Electrical Engineering, Graduate School of Engineering, Kyoto University, with Brillar's expertise in wearability and design accumulated as a jewelry brand.
By integrating various sensors and radar into an ear-cuff shaped device worn on the ear, it aims to enable the detection of vital signs such as respiratory rate, heart rate, and blood pressure, as well as whole-body movement including head movement, while achieving high wearability and suitability for daily use.
Keep Me Breathing unveils VENTO – World’s Smallest, Wearable CO2 Monitor
UK-based charity Keep Me Breathing (KMB) has unveiled VENTO, a breakthrough non-invasive wearable CO2 monitor that it says marks a major step forward in respiratory technology for people born with Congenital Central Hypoventilation Syndrome (CCHS) and other rare breathing disorders.
KMB says that VENTO is over 90% lighter and 20 times smaller than existing hospital grade CO2 monitors. It provides continuous, real time CO2 trends without wires or bulky equipment.
“VENTO proves that accurate, responsive CO2 monitoring can exist outside the hospital,” says James Oakley, Founder and CEO of Keep Me Breathing. “For patients with CCHS, this means more freedom. It’s the foundation of a complete closed-loop system where detection, data and stimulation work together to support breathing automatically.”
VENTO is patent pending and the result of hundreds of feasibility tests led by KMB’s engineering and clinical partners. According to KMB, the device has already attracted interest from respiratory specialists, med-tech innovators, and performance-science researchers exploring wider use in sports physiology and critical care.
AI at the Material Level Emerges in Sleep Science Collaboration Intelligent AI Fiber Enables Invasive Human-Computer Interaction Experiences
MIT’s Sensor and Ambient Intelligence group, led by Joseph Paradiso, unveiled ‘FiberCircuits’, a smart-fibre platform co-developed with DeRucci. It embeds sensing, edge inference, and feedback directly in fibres to create ‘weavable intelligence’. The aim is natural, low-intrusion human–computer interaction.
Teams embedded AI micro-sensors and sub-millimetre ICs to capture respiration, movement, skin conductance, and temperature, running tinyML locally for privacy. Feedback via light, sound, or micro-stimulation closes the loop while keeping power and data exposure low.
Sleep science prototypes included a mattress with distributed sensors for posture recognition, an eye mask combining PPG and EMG, and an IMU-enabled pillow. Prototypes were used to validate signal parsing and human–machine coupling across various sleep scenarios.
Edge-first design places most inference on the fibre to protect user data and reduce interference, according to DeRucci’s CTO, Chen Wenze. Collaboration covered architecture, algorithms, and validation, with early results highlighting comfort, durability, and responsiveness suitable for bedding.
Partners plan to expand cohorts and scenarios into rehabilitation and non-invasive monitoring, and to release selected algorithms and test protocols. Paradiso framed material-level intelligence as a path to gentler interfaces that blend into everyday environments.
MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
In the future, tiny flying robots could be deployed to aid in the search for survivors trapped beneath the rubble after a devastating earthquake. Like real insects, these robots could flit through tight spaces larger robots can’t reach, while simultaneously dodging stationary obstacles and pieces of falling rubble.
So far, aerial microrobots have only been able to fly slowly along smooth trajectories, far from the swift, agile flight of real insects — until now.
MIT researchers have demonstrated aerial microrobots that can fly with speed and agility that is comparable to their biological counterparts. A collaborative team designed a new AI-based controller for the robotic bug that enabled it to follow gymnastic flight paths, such as executing continuous body flips.
With a two-part control scheme that combines high performance with computational efficiency, the robot’s speed and acceleration increased by about 450 percent and 250 percent, respectively, compared to the researchers’ best previous demonstrations.
FDA clears Hushd Pro Z-Link oral appliance for sleep apnea and snoring
On Oct. 27, 2025, Good Sleep Co announced that the Hushd Pro Z-Link has received FDA 510(k) clearance. It is a precision-engineered mandibular advancement device intended to reduce or alleviate snoring and mild-to-moderate obstructive sleep apnea in adults.
Sweat Lactate Monitoring System Supporting Exercise Therapy Prescriptions in Cardiac Rehabilitation and Other Fields Receives Pharmaceutical Approval
Grace Imaging Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; President and CEO: Daisuke Nakajima) is pleased to announce that it has obtained manufacturing and marketing approval (pharmaceutical approval) for “SweatWatch®,” a device that evaluates exercise tolerance by monitoring lactic acid in sweat.
Furthermore, the generic name assigned to this device, “Sweat Lactic Acid Monitoring System,” makes it the first of its kind in Japan*. We will now proceed with preparations aimed at securing insurance coverage and launching the product.
California startup tests communication between people in dreams
The founder of a California sleep-technology startup says his team has enabled two people to exchange simple phrases while dreaming, using a wearable device that tracks lucid REM sleep and relays audio signals between participants.
Michael Raduga, CEO of REMspace, told Anadolu that his group spent years attempting to establish dream-to-dream communication.
“Communication in dreams is possible via the phenomenon called lucid dreaming,” he said. “When you have consciousness in REM sleep, you understand what’s going on as if you are in reality, so you can control what you do.”
Domestic Joint Research Agreement Aimed at Creating New Antibody Therapeutics
Perseus Proteomics Inc. (Headquarters: Chuo-ku, Tokyo; President and CEO: Takuya Yokokawa; hereinafter “PPMX”) and Asuka Pharmaceutical Co., Ltd. (Headquarters: Minato-ku, Tokyo; President and CEO: Sohei Yamaguchi; hereinafter “Asuka Pharmaceutical”) announce the conclusion of a joint research agreement. This agreement aims to develop novel therapeutic drugs for specific disease areas by leveraging PPMX's proprietary antibody technology to create new antibody-based pharmaceuticals.
The Impact of Aromatherapy's Calming Effects on Sleep Quality and Skin Condition
Mandom Corporation (Headquarters: Osaka City; President and CEO: Ken Nishimura; hereinafter "Mandom"), a "people-oriented" company, strives to create new value that delights, inspires, and puts smiles on consumers' faces. We conduct a variety of sensory research to enhance the emotional value of our products, not just their functional value. Mandom has previously demonstrated that certain fragrances have a calming (relaxing) effect on the autonomic and central nervous systems. In this study, we found that consumers experiencing stress and sleep problems who continued to use skin care products containing these fragrances experienced improved sleep quality, shorter sleep onset times, and improved skin radiance. These results suggest that the relaxing effects of fragrances may have a positive impact on sleep and skin condition in everyday life, providing new insights toward realizing "skin care that delights the skin and the mind." These research results were presented at the 27th Annual Meeting of the Japan Society of Kansei Engineering, held from September 17th to 19th, 2025.
Tear Metabolism Profile: A Breakthrough Advancement Transforming the Diagnosis and Management of Diabetic Cataracts
In a groundbreaking advance that may transform the diagnosis and management of diabetic cataracts, researchers have unveiled a novel mass spectrometry-based strategy capable of detecting signature metabolites in tear fluid. This pioneering approach offers a minimally invasive window into the biochemical shifts occurring in the eyes of individuals suffering from diabetic cataracts, a major cause of vision impairment worldwide. By meticulously profiling the metabolic fingerprints of tears, scientists aim to unravel the complex molecular underpinnings of cataractogenesis in diabetic patients, potentially accelerating early detection and personalized treatment protocols.
The research team, led by Qi, Wang, Yan, and collaborators, harnessed cutting-edge high-resolution mass spectrometry to dissect the complex biochemical milieu of tear fluid collected from diabetic cataract patients. Tears, an easily accessible biofluid, harbor a diverse array of metabolites that reflect ocular health and systemic metabolic changes. Unlike traditional tissue biopsy or invasive ophthalmic procedures, analyzing tear fluid provides a fast, patient-friendly avenue for biomarker discovery. This strategy not only reduces dependency on cumbersome diagnostic practices but also opens new horizons for routine screening in vulnerable populations.
Improved non-invasive detection of sleep stages when combining skin sympathetic nerve activity and heart rate variability analysis with AI
Sleep is a cyclic physiological process that goes into different stages, and every stage has its’ importance in the construction or recovery of physiological function. Sleep scoring is performed from polysomnography recordings which requires signals from multiple sensors in a specially equipped Sleep Lab. This is expensive, and normal sleep behavior may be affected due to the new environment and extensive testing equipment. Skin sympathetic nerve activity (SKNA) has been shown to vary between sleep stages, and it can be recorded simultaneously with the ECG on the skin using conventional ECG patch electrodes. In this study, we propose that sleep stages can be classified using features derived from the ECG and SKNA recordings. The study was performed on 21 subjects, and we initially extracted 14 heart rate variability (HRV) and 11 SKNA features, and then selected the 17 most relevant (12 HRV, 5 SKNA) features out of 25. We evaluated both individual and combined performance of HRV and SKNA for classification of 5 sleep stages, 3 stages and binary stages. Our study showed that the addition of SKNA information with HRV provides an improved recognition accuracy of 91.57%, 95.36%, and 96.14%, respectively for 5, 3, and binary sleep stages. The SKNA shows similar performance to the HRV for 2 and 3 sleep stages recognition. This AI-powered sleep classification system might provide an advancement in the development of a real-time sleep monitoring device with low computing power that can be used for screening sleep disorders in a large population.
Optum brings heart to pharmacy care with personalized support
Optum Specialty Pharmacy recently turned compassion into action, supporting breast cancer patients with personalized cards that delivered hope, encouragement and a deeply personal touch. Alongside their medication, patients received heartfelt messages signed by pharmacists, technicians, inventory specialists and others – each one honoring the person’s journey of courage, strength and resilience. This simple gesture reminded patients that behind every prescription is a team that cares.
Clinical Research Utilizing AI Medical Devices—Early Detection of Latent Atrial Fibrillation in Hospitalized Heart Failure Patients
Tottori University Hospital's Department of Cardiology will commence a clinical study using the AI medical device “SmartPAFin Series Paroxysmal Atrial Fibrillation Detection Software,” developed by Cardio Intelligence Co., Ltd. (Headquarters: Minato-ku, Tokyo; President: Yuichi Tamura; hereinafter “the Company”). The study aims to detect early signs of potential atrial fibrillation in hospitalized heart failure patients.