Scientists have created a non-invasive, adhesive patch, which promises the measurement of glucose levels through the skin without a finger-prick blood test.
Search for: smart health
A new randomized control trial has found that turning mobile mental health intervention into a smartphone game can potentially improve well-being.
New contact lenses allow to correct vision, monitor glucose and medical conditions.
Are virtual reality headsets a means to decrease fear and pain associated with immunizations in pediatric patients?
The use of blockchain will change paradigm towards patient-centered healthcare.
“A central pillar of blockchain is trust, because data cannot be altered,” says Dr Eberhard Scheuer, Chairman of the Health Information Traceability Foundation.
Researchers are developing an app and wearable technology to enable pregnant women to use a smartphone to detect whether they have a condition that could lead to serious health complications for them or their unborn child.
Chatbots hold promise for dementia patient or caregiver support, but are still in their infancy, new research finds. None of the interactive digital apps tested performed well on all testing criteria.
Purdue University engineers and physIQ have developed a viral detection algorithm for smartwatches.
Electronic skins will play a significant role in monitoring, personalized medicine, prosthetics, and robotics.
E-mental health services could provide a response to these challenges and offer effective ways for prevention, diagnosis, treatment, and aftercare.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
Engineers have designed a new touch-sensing glove that can “feel” pressure and other tactile stimuli. The design could help restore motor function after stroke.
Tests show that the device can help patients safely and effectively manage their blood glucose levels and reduce the risk of low blood sugar levels.
A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in Uganda.
This overview introduces smart insulin delivery systems and more innovations that help patients and doctors guide decision-making in diabetes care.
Every day, elderly people fall – be it at home or in care facilities. Lindera aims to reduce the risk of falling with the help of artificial intelligence.
The use of smartphone-based VR games during dressing changes icould helps to relief the pain for pediatric patients.
To help patients manage their mental wellness between appointments, researchers at Texas A&M University have developed a smart device-based electronic platform that can continuously monitor the state of hyperarousal, one of the signs of psychiatric distress.
The University of Texas at San Antonio has established a wearables and AI laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD).
Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
Scientists have developed a more accurate navigation system that allows robots to better negotiate busy clinical environments in general and emergency departments more specifically.
People who compulsively pull their hair – suffering from an affliction known as trichotillomania – could find relief with a new device.
Researchers have developed a novel skin-mounted sticker that absorbs sweat and then changes color to provide an accurate, easy-to-read diagnosis of cystic fibrosis within minutes.
Scientists have developed and tested a wearable biofuel cell array that generates electric power from the lactate in the wearer's sweat, opening doors to electronic health monitoring powered by bodily fluids.
Researchers have proposed that wearable devices could be used to develop a network of health data about a patient, allowing for early diagnosis of COVID-19, even when the patient is asymptomatic.
Activity trackers are rising in popularity. Yet a new study demonstrates that many struggle to optimally use these devices. The cause? Outdated digital literacy skills.
Researchers combined motion analysis that uses smartphone application and machine learning that uses an anomaly detection method, thereby developing a technique to easily screen for carpal tunnel syndrome.
Researchers have developed a way to harvest energy from radio waves to power wearable devices.
Researchers are analysing the use of context-sensitive data glasses in everyday clinical practice in cooperation with tooz technologies.
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
In 2032, a man lies critically injured on a remote road following a car accident. His life is in the balance, but data visualization, remote robotics, biofabrication and virtual care will combine to give him the best possible chance of survival.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
Sharing information about the expected effect of a health app before its use and providing positive feedback regarding its effectiveness after its use have the potential to strengthen the placebo effect.
Bioengineering students program smartphone to guide patients who ‘freeze’ while walking.
Researchers have constructed a 3D vision-guided artificial skin that enables tactile sensing with high performance, opening doors to innumerable applications in medicine.
Researchers have demonstrated a novel multifunctional ultrathin contact lens sensor layer with transistors that may revolutionise the manufacture of smart contact lenses.
By analyzing Fitbit data and self-reported symptoms, researchers analyzed trends in heart rate, step count, and symptom duration between patients with flu and those with COVID-19.
Digital tracking of people with mental health conditions has the power to transform medical diagnostics and treatment, but its claims need careful scrutiny.
CSL's Systems and Networking Research Group (SyNRG) is defining a new sub-area of mobile technology that they call "earable computing."
The following seven robotic systems are either currently being deployed or developed for the fight against the coronavirus.
An analysis highlights the realistic pros and cons of apps and other technologies that use AI to benefit older adults, including those facing dementia and cognitive decline.
Researchers have developed a wearable, non-invasive system to monitor electrical activity in the stomach — essentially an electrocardiogram but for the gastro-intestinal tract.
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
Why do people learn new skills at different speeds? A medical training aid is addressing this question by blending sensory technology with psychological insight.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Scientists have developed a next generation wound dressing that can detect infection and improve healing in burns, skin grafts and chronic wounds.
Xsensio has been awarded CHF 1.8 million in EU funding to adapt its Lab-on-Skin sensing patches so that they can detect when a viral illness like the flu or COVID-19 is about to get worse.
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
Researchers have developed a revolutionary cortical vision device that could one day help restore vision to the blind.
Australian eHealth strategy pushes towards a digital health services ecosystem which will lead to greater involvement and responsibility for consumers.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
The development of new medical technologies based on cutting-edge discoveries has accelerated during the coronavirus pandemic.
An IoT system that allows geneticists, nutritionists, clinicians and exercise physiologists to work together remotely encourages middle-aged and elderly people to train using Interval Walking Training.
The Danes show how e-health can work at the state level. As a healthcare portal, sundhed.dk is a central access point for doctors and patients alike to look at findings, medications, treatment plans or billing.
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
Exoskeletons are one technology with great potential - but is often developed for average people. So what about people who are small and thin, or tall and overweight?
Eric Schmidt has strong opinions about the healthcare system, its providers and professionals. He critized that the healthcare ecosystem was still being stuck in the “stone age" and challenges it to "focus on innovation".
Engineers have demonstrated that drug levels inside the body can be tracked in real time using a custom smartwatch that analyzes the chemicals found in sweat.
Bioengineers have designed a glove-like device that can translate American Sign Language into English speech in real time through a smartphone app.
Researchers caution that consumer wearables are not sophisticated enough to monitor the complicated illness.
Researchers have developed a smart surface that can actively and repeatedly release and reabsorb substances by environmental stimuli.
Engineers have designed a thin adhesive film that could upgrade a consumer smartwatch into a powerful health monitoring system.
How University of Alberta health scientists are helping fulfil the promise of big data to revolutionize everything from prevention to diagnosis to treatment.
Newer concepts like edge computing are regularly discussed alongside the cloud within the healthcare sector, often as if they are each exclusive approaches to infrastructure. However, using one does not eradicate the ability to utilise the other.
A new app that helps patients in self-isolation monitor for symptoms of COVID-19 and identify their mental health needs has been developed.
Researchers have developed a framework that will help data scientists and other researchers use better digital health tools for clinical purposes.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
A way to incorporate electronic sensors into stretchy fabrics allows scientists to create shirts or other garments that could be used to monitor vital signs such as temperature, respiration, and heart rate.
EPFL spin-off Annaida is developing a magnetic resonance system that can detect the chemistry inside the tiniest living organisms.
A research study seeks volunteers to provide data from smartphones, smartwatches and health surveys to help detect COVID-19.
EPFL students teamed up with startup IcosaMed to develop the SmartBra – the first piece of smart clothing that can be used for cancer prevention.
Penn State engineers say computational power is key to technology for smart bandages, health tattoos and artificial organs.
Commercially available app-based technology now makes early detection of lymphedema easier, allowing for proactive treatment.
Researchers have developed a wireless monitoring system for newborn babies that can easily be implemented to provide clinical-grade care in nearly any setting.
A wearable sensor could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs and could prevent hospitalization.
Researchers have developed a "smart" contact lens that can show real-time changes in moisture and pressure by altering colors.
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
To better leverage cancer data for research, scientists are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports.
Researchers have developed a smart jumpsuit, or a garment that accurately measures the spontaneous and voluntary movement of infants from the age of five months.
Rutgers University have devised a way to integrate microneedles with backward facing barbs, so that microneedle arrays can stay in place as long as needed.
Researchers have developed a super-stretchy, transparent and self-powering sensor that records the complex sensations of human skin.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
A new statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-based interventions more accurately.
For the first time researchers successfully reproduced the electrical properties of biological neurons onto semiconductor chips.
Dementia screening could be as easy as using a smartphone app that listens to elderly people speak.
A smart shirt that measures lung function by sensing movements in the chest has proven to be accurate when compared to traditional testing equipment.
The smart insole can be inserted into a sneaker or dress shoe to passively monitor the foot health of a person living with diabetes.
Patients recovering from coronary heart disease who received rehabilitation through WeChat experienced a better recovery than those having standard care.
Researchers have developed a new smart speaker skill that lets a device use white noise to monitor sleeping babies breathing and movement.
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Scientists have successfully tested neuroprosthetic technology that combines robotic control with users’ voluntary control, opening avenues in the new interdisciplinary field of shared control for neuroprosthetic technologies.
Using blockchain, researchers have developed a prototype of an app that may potentially prescribe the optimal dose of medicine for the individual patient, as well as prevent counterfeit products.
Engineers have developed experimental stickers that pick up physiological signals emanating from the skin, then wirelessly beam these health readings to a receiver clipped onto clothing.
Transdermal optical imaging measures blood pressure by detecting blood flow changes in smartphone-captured facial videos.
New research suggests that the 'BlueIce' app developed at University of Bath could have a significant impact in reducing self-harm in young people.
Researchers have invented a completely new way for wearable devices to interconnect which enable easier health monitoring, medical interventions and human–machine interfaces.
Scientists have identified mechanisms in the human brain that could help explain the the unsettling feeling we get from robots and virtual agents that are too human-like.
A researcher is hoping to help women in rural areas access information about their reproductive health using a common tool in their pockets: a smartphone.
Researchers have developed a smart material that can help those with affective disorders, such as anxiety, bi-polar disorder and depression, to monitor their emotions.
VR can identify early Alzheimer’s disease more accurately than ‘gold standard’ cognitive tests currently in use, suggests new research from the University of Cambridge.
Children with autism improved measurably on a test of socialization and learning when their therapy included an at-home intervention with Google Glass.
Researchers have created a new app that can detect fluid behind the eardrum by simply using a piece of paper and a smartphone’s microphone and speaker.
Researchers have used artificial intelligence to detect hidden depression in young children, a condition that can lead to increased risk of substance abuse and suicide later in life if left untreated.
Researchers are developing a smart wrist-worn device for monitoring of atrial fibrillation – a condition, which if left untreated can lead to serious health complications and even death.
Smart speakers that are customarily used in your living room can be programmed to act as an aid to physicians in hospital operating rooms.
The clinical trial to determine whether a smartwatch app that analyzes pulse-rate data can screen for a heart-rhythm disorder has enrolled more than 400,000 participants.
Researchers are working on a smartphone app that could help diagnose autism in minutes – and provide ongoing therapy as well, all with fewer visits to specialized clinics.