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.
Search for: personalized medicine
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
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.
Akili announced that the U.S. Food and Drug Administration (FDA) has granted clearance for EndeavorRxTM (AKL-T01) as a prescription treatment for children with attention deficit hyperactivity disorder (ADHD).
Researchers have fabricated 3D scaffold implants containing antibiotics at high temperatures. These scaffolds support bone regeneration and manage the bone infections.
Researchers have found that out of the more than 300 COVID-19 machine learning models are not suitable for detecting or diagnosing COVID-19 from standard medical imaging.
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
The Covid-19 pandemic highlights how remote healthcare robots currently being developed could be beneficial in the future.
Dr Jan Stallkamp, Professor for Automation in Healthcare and Biotechnology, has a vision: robots that can treat patients more efficiently and more precisely than any human physician.
Researchers have constructed a 3D vision-guided artificial skin that enables tactile sensing with high performance, opening doors to innumerable applications in medicine.
Scientists have created a new way to detect the proteins that make up the pandemic coronavirus, as well as antibodies against it.
Physicians who follow AI advice may be considered less liable for medical malpractice than is commonly thought, according to a new study of potential jury candidates in the U.S.
Revealing details of the internal structure of 'mini-brains' could help accelerate drug studies and may offer alternatives to some animal testing.
Digital tracking of people with mental health conditions has the power to transform medical diagnostics and treatment, but its claims need careful scrutiny.
The supplier sector will showcase its expertise and innovative high-tech solutions for the medical technology industry.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Linking the human brain to a computer is usually only seen in science fiction, but now scientists have harnessed the power of 3D printing to bring the technology one step closer to reality.
A new robotic system allows medical staff to remotely operate ventilators and other bedside machines from outside intensive care rooms of patients suffering from infectious diseases.
This is the first known time that AI has used causation instead of correlations to support doctors with diagnosis in simulated cases.
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.
Scientists have developed an experimental diagnostic test for COVID-19 that can visually detect the presence of the virus in 10 minutes.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
3D printing fuels efforts to rapidly increase ventilator capacity while providing each patient on vent support with individually tailored gas pressures and pressure monitoring.
A research study seeks volunteers to provide data from smartphones, smartwatches and health surveys to help detect COVID-19.
Researchers have created a material with a unique set of properties, which could act as a replacement for human tissue in medical procedures.
Researchers demonstrated a methodology that combines the bioprinting and imaging of glioblastoma cells in a way that more closely models what happens inside the human body.
Scientists have designed a new type of controller for the robotic arm used in robotic surgery.
Engineers have developed a robotic device that can be used to assist and train people with SCIs to sit more stably by improving their trunk control.
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
For the first time researchers successfully reproduced the electrical properties of biological neurons onto semiconductor chips.
Researchers have shown that AI can evaluate written messages by patients with severely diseased livers to detect language abnormalities associated with liver disease.
Researchers from Johns Hopkins Medicine show that wearable activity trackers are a reliable tool for predicting death risk in older adults.
Though identifying data typically are removed from medical image files before they are shared for research, a study finds that this may not be enough to protect patient privacy.
Scientists have successfully used microneedle biosensors to accurately detect changes in antibiotic levels in the body, for the first time.
Researchers have implanted electrodes in brain of a person who is mostly paralyzed to enable him to have some “mind control” of motorized prosthetic arms.
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.
Robotic device acts as a cane-like mobile assistant to provide light-touch to help the elderly and others with impaired mobility.
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
Machine learning has the potential to vastly advance medical imaging, particularly CT scanning, by reducing radiation exposure and improving image quality.
An international team of health-care investigators is piloting a new medical-delivery system that uses a "surgical strike" approach to solve pandemic problems.
Researchers have 3D printed an artificial cornea using the bioink which is made of decellularized corneal stroma and stem cells.
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.
Researchers have built a set of magnetic ‘tweezers’ that can position a nano-scale bead inside a human cell in three dimensions with unprecedented precision.
Researchers have built a device that could protect your pacemaker, other medical tech from remote hacks before they happen.
A machine learning algorithm was able to sort children with arthritis into distinct categories based on their patterns of inflamed joints in the body in a way that was also predictive of disease outcome.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Researchers have developed an app that uses sonar to monitor someone's breathing rate and sense when an opioid overdose has occurred.
The app "Swift Skin and Wound", which accurately measures and charts the progression of skin wounds, could potentially have a significant impact on clinical management and patient outcomes.
Researchers have created a novel 3D printing workflow that allows cardiologists to evaluate how different valve sizes will interact with each patient's unique anatomy, before the medical procedure is actually performed.
Smaller than an M&M and thinner than a credit card, device can optimize treatment of neonatal jaundice, skin diseases, seasonal affective disorder and reduce risk of sunburns and skin cancer.
Anorexia nervosa patients prefer underweight bodies, scientists find when they investigated body perception using virtual reality.
“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.
Wearing a device that identifies other people’s facial expressions can help children with autism develop better social skills.
Researchers are working on a smart insole that flags changes in a patient’s gait, activity level and balance, as well as monitors for the localized increase in heat that can reveal a building infection before the human eye can spot it.
Prosthetics for arms and legs have evolved from the rudimentary wooden appendages of just a few decades ago.
A new robotic system developed can help diagnose neurodegenerative diseases, such as dementia and Parkinson, through the analysis of eye movements.
Machine learning has detected one of the commonest causes of dementia and stroke, in CT brain scans, more accurately than current methods.
The first U.S. clinical trial of 3D-printed prosthetics for children launched.
European Commission put forward a set of measures to increase the availability of data in the EU, building on previous initiatives to boost the free flow of non-personal data in the Digital Single Market. A key factor is to ensure securing citizens' healthcare data while fostering European cooperation
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 new prototype for wearable tremor suppression gloves has researchers believing real change is on the way for the more than 6 million people in the world afflicted by Parkinson’s disease.
How University of Alberta health scientists are helping fulfil the promise of big data to revolutionize everything from prevention to diagnosis to treatment.