Research leaders collaborate with organizations and regulators to develop digital tools for Parkinson's clinical trials. The Digital Drug Development Tools initiative accelerates the regulatory endorsement of these tools, enabling more objective and patient-centered measures.
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
Researchers at Tokyo University of Science developed a novel wearable biosensor that can monitor sweat electrolyte levels, providing insights into the body's electrolyte balance. The sensor can be seamlessly applied to textiles and transmits measurements wirelessly.
A research team at CityU developed a multifunctional composite polymer coating with both radiative and non-radiative cooling capacity, enhancing heat dissipation in wearable electronics. The cooling interface achieved temperature drops of over 56°C, improving the performance of skin electronic devices.
A new study creates graphene capsules using seaweed and salt, enabling high precision, real-time biomechanical and vital signs measurements. This sustainable technology has the potential to outperform traditional non-sustainable sensors.
SAMSUNG T9 Portable SSD 2TB
SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.
Scientists have invented a smart textile that can sense and measure body movements using nanomagnets. The device is self-powered, stretchy, durable, waterproof, and can be made with a sewing machine for under $3. It converts muscle activities into quantifiable electrical signals sent wirelessly to phone apps.
New smart pants based on fiber optic sensors can track various types of physical activities in the clinic or at home, detecting signs of distress. The sensing approach achieved 100% accuracy in classifying activities and has several advantages, including low-cost and reliability.
A new wearable device can track adrenal steroid levels in real-time, providing insights into hormonal rhythms and revolutionizing endocrine disease diagnosis. The U-RHYTHM technology offers a more accurate picture of hormone balance than traditional tests taken at one point, enabling earlier treatment interventions.
Interventions with wearable activity trackers increased physical activity levels, reduced sedentary behavior, and improved physical functioning in hospitalized adults. This systematic review and meta-analysis of 15 studies and 1,900 participants supports the use of wearable technology to enhance patient outcomes.
A systematic review and meta-analysis found that wearable activity trackers improve patient activity, reduce sedentary behavior, and enhance physical function, supporting faster recovery in hospitalized adults. The study examined 15 studies with a combined total of 1911 patients and found significant improvements in clinical outcomes.
AmScope B120C-5M Compound Microscope
AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.
Scientists have developed a technique for applying liquid metal to surfaces that don't easily bond with it, using force-responsive adhesion. The method allows for the creation of electronic 'smart devices' from everyday materials like paper and plastic.
A study of US adults found that fewer than 1 in 4 use wearable devices to prevent or manage cardiovascular disease, with inconsistent daily use among those who do. This disparity may worsen health inequalities unless strategies are implemented to promote equitable adoption of these tools.
A study published in JMIR Formative Research found that wearable sleep devices show promise in positively impacting sleep health among marginalized populations. Participants perceived the device as easy to use and comfortable to wear, suggesting its potential for improved sleep health. However, barriers to adoption, such as housing sta...
Researchers at City University of Hong Kong developed a novel, wearable, olfaction feedback system with wireless capabilities for virtual reality. The system releases various odours using miniaturized odour generators and has been tested with an average success rate of 93 percent.
Sky & Telescope Pocket Sky Atlas, 2nd Edition
Sky & Telescope Pocket Sky Atlas, 2nd Edition is a durable star atlas for planning sessions, identifying targets, and teaching celestial navigation.
A deep learning-based framework called EMGSense enables accurate wearable EMG device usage through AI self-training techniques. It achieves average accuracy of 91.9% in gesture recognition and 81.2% in activity recognition, outperforming state-of-the-art approaches.
A wearable device developed by Georgia Tech researchers detects obstructive sleep apnea and quality of sleep at home, addressing comfort, time, access, and cost issues. The patch has an 88.5% accuracy rate for sleep apnea detection and can predict the likelihood of developing the condition.
A study on Chinese schoolchildren found that younger kids had higher close contact rates than older peers, with most face-to-face interactions occurring during breaks. The authors recommend a classroom ventilation rate to mitigate airborne transmission, suggesting improved ventilation can reduce COVID-19 risk.
Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C)
Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C) keeps Macs, tablets, and meters powered during extended observing runs and remote surveys.
A team of researchers developed a deep-learning model called WearNet that uses Fitbit data to detect depression and anxiety. The study found that WearNet performed better than state-of-the-art machine learning models in detecting these conditions, producing individual-level predictions.
Researchers at UC San Diego have created a wearable ultrasound system that can monitor deep tissue vital signs continuously, even in subjects on the go. The device uses machine learning to track movement and adjust its focus, providing real-time cardiovascular data.
Researchers at Fudan University have developed braided current collectors that increase the energy density of fiber lithium-ion batteries. The new design improves ion transport within the electrode, increasing charge density and reducing obstruction to lithium ion transport.
Researchers at City University of Hong Kong have developed a multifunctional additive that improves the efficiency and stability of perovskite solar cells by modulating film growth. The additive reduces defects, leading to higher power conversion efficiency and lower energy loss.
Apple AirPods Pro (2nd Generation, USB-C)
Apple AirPods Pro (2nd Generation, USB-C) provide clear calls and strong noise reduction for interviews, conferences, and noisy field environments.
Researchers developed a new type of wearable sweat sensor that can analyze sweat for vital signs like dehydration and blood sugar levels. The device, called the 'sweatainer,' offers a glimpse into the future of health monitoring with its non-invasive technology.
A team of researchers has created a touch-responsive fabric armband that can be used as a keyboard or sketchpad. The device uses a pressure-sensitive hydrogel sandwiched between layers of knit silk to interpret user input, allowing for real-time writing and gaming on computers.
A team of engineers at UC San Diego has developed a stretchable ultrasonic array capable of serial, non-invasive imaging of tissues up to 4cm below the skin surface. This technology offers several key applications in healthcare monitoring, including cancer detection and sports injury assessment.
Fluke 87V Industrial Digital Multimeter
Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.
Researchers at Mount Sinai Hospital developed a machine learning model to analyze wearable device data, identifying an individual's degree of resilience and psychological well-being. The study found that heart rate variability and resting heart rate metrics collected from Apple Watches were predictive of resilience states.
Researchers at the University of Texas at Austin developed an ultrathin, lightweight electronic tattoo for continuous, mobile heart monitoring. The device provides two key measurements: electrocardiogram and seismocardiogram, giving clinicians a better chance to catch red flags for heart disease early.
A team of researchers at North Carolina State University has created a zinc-ion battery prototype with a fiber-shaped cathode, which can power a wrist watch. The team used graphene oxide and manganese dioxide materials to create a yarn-shaped battery that is strong, flexible, and electrically conductive.
A KAIST research team has developed a highly sensitive, wearable piezoelectric blood pressure sensor for continuous health monitoring. The sensor's accuracy meets international standards, with errors within ±5 mmHg and a standard deviation under 8 mmHg for both systolic and diastolic blood pressure.
Kestrel 3000 Pocket Weather Meter
Kestrel 3000 Pocket Weather Meter measures wind, temperature, and humidity in real time for site assessments, aviation checks, and safety briefings.
Researchers developed an AI algorithm that allows electronic devices to express uncertainty when faced with unexpected data, improving cough detection technology. The new approach enables more precise detection with fewer sound samples per second, reducing computing power and addressing privacy concerns.
Scientists at the University of Chicago have created a new material that can bend in half or stretch to twice its original length while still emitting light. The stretchable OLED display has applications in wearable electronics, health sensors, and foldable computer screens.
A new study published in The European Heart Journal – Digital Health found that smart watch data can predict a higher risk of developing heart failure and irregular heart rhythms. Researchers used machine learning to analyze ECG recordings from wearable devices and identified extra beats as indicators of increased cardiovascular risk.
Davis Instruments Vantage Pro2 Weather Station
Davis Instruments Vantage Pro2 Weather Station offers research-grade local weather data for networked stations, campuses, and community observatories.
Researchers at EPFL have developed a novel solution for wearable assistive technologies by creating fiber-like pumps that can generate high pressure and flow rate. These pumps can be integrated directly into clothing, allowing for silent, vibration-free operation and requiring only a palm-sized power supply.
The new system, built by researchers at the University of Waterloo, uses low-power radar technology to track activities and alert medical experts to potential health issues. It can detect decline in mobility, increased likelihood of falls, and onset of medical conditions without the need for wearable devices.
Researchers developed the first wearable sensor for monitoring muscle atrophy, a condition typically caused by degenerative disease or aging. The sensor can measure small-scale volume changes in overall limb size and monitor muscle loss of up to 51%. This technology has the potential to create less burden on patients and improve treatm...
Researchers at GIST developed a novel thermoelectric generator inspired by zebra skin, creating a high in-plane temperature gradient for generating electricity. The design uses a pattern resembling black-and-white zebra stripes to increase its applicability while reducing environmental impact.
Research from Penn State found that self-monitoring physical activity through smartwatches leads to increased motivation and activity levels. Participants who received prompts to report their activity took hundreds more steps in a given day compared to those who didn't receive such prompts.
CalDigit TS4 Thunderbolt 4 Dock
CalDigit TS4 Thunderbolt 4 Dock simplifies serious desks with 18 ports for high-speed storage, monitors, and instruments across Mac and PC setups.
Chung-Ang University researchers develop a novel flexible supercapacitor platform with vertically integrated gold electrodes in a single sheet of paper. The design shows low electrical resistance, high foldability, and good mechanical strength, making it suitable for wearable devices.
A new study published in PLOS One demonstrates the potential of machine learning and artificial intelligence to aid in the development of new treatments for Rett syndrome. The researchers used a wearable electronic chest patch to monitor cardiac activity and movement, and developed an algorithm that identified patterns specific to seve...
Researchers found that certain wearable devices using bioimpedance sensing technology can interfere with CRT devices, causing pacing interruptions or unnecessary shocks to the heart. The study suggests that future clinical studies are needed to evaluate patients with CIEDs and wearables.
Aranet4 Home CO2 Monitor
Aranet4 Home CO2 Monitor tracks ventilation quality in labs, classrooms, and conference rooms with long battery life and clear e-ink readouts.
The new technology enables wireless communication and battery-less operation using a custom chip that can be powered by LTE signals. This approach reduces e-waste and increases device lifespan by up to several decades.
Northwestern University researchers developed a wearable device to track vocal usage and alert users to overuse before vocal fatigue sets in. The device, accompanying algorithms, and app help prevent injury among professionals and patients with voice disorders.
Researchers create 'Lego-like' BIND interface to assemble stretchable devices with excellent mechanical and electrical performance. The interface allows for easy connection of modules, enabling the development of highly functional wearable devices or soft robots.
Apple MacBook Pro 14-inch (M4 Pro)
Apple MacBook Pro 14-inch (M4 Pro) powers local ML workloads, large datasets, and multi-display analysis for field and lab teams.
A smart necklace called SmokeMon tracks a user's every puff and provides valuable insights into their smoking behavior. By analyzing heat signatures, the device can detect when a cigarette is being lit, how much smoke is inhaled, and when the person holds it to their mouth, helping to prevent relapse and improve quit rates.
Researchers at Aston University have discovered a new approach to process LDF light signals, allowing for more precise measurement of blood flow in specific areas of the vascular bed. This innovation has shown significant improvement in diagnostic accuracy for detecting microvascular changes in patients with type 2 diabetes and age-spe...
Researchers at the University of Missouri have designed a soft and breathable material that can be worn on the skin without causing discomfort. The material, made from liquid-metal elastomer composite, has integrated antibacterial and antiviral properties to prevent the formation of harmful pathogens.
A team of researchers from Harvard and MGH developed a soft robotic wearable capable of significantly assisting upper arm and shoulder movement in people with ALS. The device improved range of motion, reduced muscle fatigue, and increased performance of tasks like holding or reaching for objects.
Researchers found that continuous glucose monitors and wearable devices pose challenges for patients and caregivers, including issues with hardware, software, and device use. Nearly three-quarters of participants experienced low blood sugar levels, highlighting the need for improved technology to manage diabetes effectively.
GoPro HERO13 Black
GoPro HERO13 Black records stabilized 5.3K video for instrument deployments, field notes, and outreach, even in harsh weather and underwater conditions.
Engineers and physicians developed a portable, postage-stamp-sized wearable ultrasound device for cardiac imaging. The device measures blood pumping activity in real-time, even during exercise, providing continuous insights into heart health.
Researchers at Tohoku University developed a microelectronic fiber that can analyze electrolytes and metabolites in sweat, enabling wearable bioelectronics for monitoring biochemical signatures. The breakthrough smart fabric has the potential to provide greater versatility in functions, larger sensing areas, and greater comfort.
A transdisciplinary team at Northwestern University developed a vertical electrochemical transistor that amplifies important signals, making it suitable for wearable devices in bioelectronics. The transistor's high performance and stability enable efficient on-site signal processing.
Celestron NexStar 8SE Computerized Telescope
Celestron NexStar 8SE Computerized Telescope combines portable Schmidt-Cassegrain optics with GoTo pointing for outreach nights and field campaigns.
Researchers at Tufts University develop biopolymer-based sensors that can detect bacteria, toxins, and chemicals in the environment. The sensors glow when dangers are present and can be printed on a wide range of materials, including wearable items and food jars.
Researchers at Washington State University have developed a new screen-printing method to create stretchable and durable wearable electronics. The process uses a multi-step layering technique to create snake-like electrode structures that can be transferred onto fabric or worn directly on human skin.
Researchers at North Carolina State University have developed a highly sensitive and stretchable strain sensor that can detect minor changes in strain with great range of motion. The sensor's innovative design features a patterned cut network that enables it to withstand significant deformation without sacrificing sensitivity.
Researchers from City University of Hong Kong developed a novel device-engineering strategy to suppress energy conversion loss in organic photovoltaics, achieving PCE over 19%. The discovery enables OPVs to maximize photocurrent and overcome the limit of maximum achievable efficiency.
The device can monitor hemoglobin levels in deep tissues with high spatial resolution, providing critical information for timely interventions. It overcomes limitations of existing methods, such as MRI and X-ray-computed tomography, which are bulky and only provide immediate status information.
Apple Watch Series 11 (GPS, 46mm)
Apple Watch Series 11 (GPS, 46mm) tracks health metrics and safety alerts during long observing sessions, fieldwork, and remote expeditions.
Researchers developed a biodegradable material that decomposes in weeks to months, replacing toxic metal components of electronic devices. The starch-based polymer uses natural enzymes and has the right properties for sensors, offering an alternative to complex polymers and reducing e-waste.
Researchers from Florida Atlantic University have developed a prototype of a novel wearable device that can continuously monitor physiological parameters associated with heart failure in real-time. The device uses sensors embedded in a lightweight belt to track thoracic impedance, electrocardiogram, heart rate, and motion activity, pro...
Researchers developed an app to track CPAP use, sleep patterns, and other health metrics to provide a new adherence metric that aligns therapy with individual need. This tool can help patients and providers deliver more effective sleep apnea treatment by tracking progress toward a personalized dose of therapy.
Researchers at the University of Missouri are developing a wearable heart monitor using a breathable material with antibacterial and antiviral properties. The device will track heart health via dual signals, providing continuous monitoring for early detection of heart disease.
Researchers at UT Austin developed a graphene-based e-tattoo that tracks electrodermal activity on the palm, enabling unobstructive ambulatory sensing. This technology reduces social stigma and provides accurate readings, addressing limitations of current bulky devices.
Rigol DP832 Triple-Output Bench Power Supply
Rigol DP832 Triple-Output Bench Power Supply powers sensors, microcontrollers, and test circuits with programmable rails and stable outputs.
Researchers developed a method to measure overall fitness using wearable devices, outperforming current consumer smartwatches and fitness monitors. The model uses machine learning to predict VO2max during everyday activity, providing accurate predictions based on heart rate and accelerometer data.