
Smartwatch tracks medication levels to personalize treatments
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.
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.
Researchers are using artificial intelligence to reduce the dose of a contrast agent that may be left behind in the body after MRI exams, according to a study presented at RSNA.
Less expensive and more realistic 3D models of blood vessels may offer alternative to the commercial standard.
Researchers have developed advanced explainable AI in a technical tour de force to decipher regulatory instructions encoded in DNA.
VR brings medical images to life on screen, showing interventional radiologists a patient’s unique internal anatomy to help physicians effectively prepare and tailor their approach to complex treatments.
Researchers developed a new holographic method called in-flight holography. With this method, they were able to demonstrate the first X-ray holograms of nano-sized viruses that were not attached to any surface.
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 smartwatch app designed to alert users when their bodies show signs of fighting an infection, such as elevated heart rate.
Researchers developed a multimodal ion-electronic skin that distinguishes temperature from mechanical stimuli.
Using a device that could be built with a dollar's worth of open-source parts and a 3D-printed case, researchers want to help the hundreds of millions of older people worldwide who can't afford existing hearing aids to address their age-related hearing loss.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
Researchers have been working to advance a technology that could one day help people with paralysis regain use of their limbs, and enable amputees to use their thoughts to control prostheses.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Scientists are creating from scratch a diagnostic lab with the capability to process more than 1,000 patient samples per day.
Researchers find that a motorized device that attaches around the ankle and foot can drastically reduce the energy cost of running.
Currently, we are too focused on the topic of AI. In order, however, to leverage AI technology several challenges have to be mastered and a proper framework has to be established.
Artificial intelligence may soon play a critical role in choosing which depression therapy is best for patients.
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.
Analysing fertility awareness apps, researchers have been able to track behavior patterns and accuracy in measuring menstrual health and ovulation.
A study from Florida Atlantic University introduces machine learning as new potantial tactic in assessing cognitive brain health and patient care.
Years-long tracking of individuals’ biology helped define what it meant for them to be healthy and showed how changes from the norm could signal disease.
Strokes often have a devastating impact on the hands. Researchers are collaborating on a vibrating glove that could improve hand function after a stroke.
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.
Transforming super-sensitive touch sensors, engineers and medical researchers build a way to wirelessly monitor blood flow after surgery.
Alphabet, Amazon, Apple and Microsoft are all building technologies that have the potential to transform the delivery of care. Here are some examples of BigTech's road into healthcare.
Research from the BrainGate consortium shows that a brain-computer interface (BCI) can enable people with paralysis to directly operate an off-the-shelf tablet device just by thinking about making cursor movements and clicks.
In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
A Stanford-developed virtual reality experience, called “Becoming Homeless,” is helping expand research on how this new immersive technology affects people’s level of empathy.
"BactiCount" app and lab kit allow a smartphone to identify bacteria that cause urinary tract infections from patients anywhere in the world.
Engineers use deep learning to decode the conversation between brain and arm, by analyzing electrical patterns in the motor control areas of the brain.
A "Hive Mind" of doctors, moderated by AI algorithms, makes more accurate diagnoses than the doctors or machine learning alone, according to a new study from Stanford and Unanimous AI.
Wearing a device that identifies other people’s facial expressions can help children with autism develop better social skills.
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.