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.
Search for: biomarkers
The new device can continuously sense levels of virtually any protein or molecule in the blood. The researchers say it could be transformative for disease detection, patient monitoring and biomedical research.
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
Researchers have created a wearable sensor printed on microbial nanocellulose, a natural polymer.
Engineers have designed a thin adhesive film that could upgrade a consumer smartwatch into a powerful health monitoring system.
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
Researchers at the University of Washington have developed a new tool to monitor people for cardiac arrest while they’re asleep without touching them.
A team of engineers has developed a prototype bandage designed to actively monitor the condition of chronic wounds.
Researchers have developed a new material that can facilitate a near-perfect merger between machines and the human body for diagnostics and treatment.
Scientists in Dresden are expanding their digital health expertise in multiple sclerosis (MS) therapy and research with an ambitious scientific project - creating a "digital twin“ from data.
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.
Researchers have designed a cellular device capable of detecting and processing biological signals outside the laboratory.
Scientists have developed a soft and nonirritating microfluidic sensor for the real-time measurement of lactate concentration in sweat.
Scientists have created a new way to detect the proteins that make up the pandemic coronavirus, as well as antibodies against it.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Researchers have demonstrated a novel multifunctional ultrathin contact lens sensor layer with transistors that may revolutionise the manufacture of smart contact lenses.
A new eye test may predict wet age-related macular degeneration, a leading cause of severe sight loss, three years before symptoms develop.
If Alzheimer's dementia is identified early, the decline in neural functioning can be stabilized or even curtailed in some cases.
Researchers have examined how mobile technologies have been used in monitoring and mitigating the effects of the Covid-19 pandemic.
Scientists have designed tiny optical sensors that open the door to developing a wearable device that allows doctors to medically diagnose people's health in real time.
With the advent of pharmacogenomics, machine learning research is well underway to predict patients' drug response that varies by individual from the algorithms derived from previously collected data on drug responses.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Researchers have designed a wearable device that monitors sweat for biomarkers that could signal flare-ups of inflammatory bowel disease (IBD).
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.
Researchers have developed a microneedle patch for monitoring glucose levels using a paper sensor.
For the first time doctors have shown that measuring changes in 24-hour heart rate can reliably indicate whether or not someone is depressed.
Researchers have developed a framework that will help data scientists and other researchers use better digital health tools for clinical purposes.
In order for a COVID-19 vaccine and antiviral drugs to be developed, scientists first need to understand why this virus spreads so easily and quickly, and why it invades our bodies with seemingly little resistance from our immune system.
Usind deep learning and digital scanning of conventional hematoxylin and eosin-stained tumor tissue sections, researchers have developed a clinically useful prognostic marker.
Based on a convolutional neural network the tool is able to provide results within seconds, thus supporting the doctor with comprehensive image analysis.
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
Using AI, researchers have succeeded in making the mass analysis of proteins from any organism significantly faster than before and almost error-free.
Researchers have created a 3D printed microchip electrophoresis device that can sensitively detect three serum biomarkers of preterm birth.
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.
The project “BioSensing” from Fraunhofer ISC aims to overcome the limits of modern biosensors with the help of quantum technology.
Engineers have designed an ingestible pill that quickly swells to the size of a soft, squishy ping-pong ball big enough to stay in the stomach for an extended period of time.
Research project is aimed at improving therapeutic options for both rare and common diseases, including supporting methods to improve editing the human genome.
Mobile Brain/Body Imaging system combines virtual reality, brain monitoring, and motion capture technology for researchers to study neurological disorders.
“The digital transformation will make healthcare even more human. It will enable us to provide preventive and personalized healthcare,” says Prof. Dr. Koen Kas, Professor of Oncology at Ghent University, Belgium.
Researchers employ novel machine learning techniques that determines the fewest, smallest doses of toxic chemotherapy and radiotherapy that could still shrink glioblastomas.
By drawing in a bit of sweat, a patch developed in the lab of Alberto Salleo can reveal how much cortisol a person is producing. Cortisol is known as the stress hormone but is involved in many important physiological functions.