18.03.2020Researchers at Stevens Institute of Technology have developed an AI-powered, smart insole that instantly turns any shoe into a portable gait-analysis laboratory.
18.03.2020DNA only persists through replication - naturally or synthetically. While humans need the genetic material to be reproduced in order to replace old or damaged cells, the ability to replicate DNA in a laboratory setting can provide researchers insights into the mechanisms of disease or the platform to develop treatments.
16.03.2020A new system combining artificial intelligence (AI) with human knowledge promises faster and more accurate cancer diagnosis. The powerful technology, developed by a team led by engineering researchers at the University of Waterloo, uses digital images of tissue samples to match new cases of suspected cancer with previously diagnosed cases in a database.
12.03.2020Researchers at the University of Campinas (UNICAMP) in São Paulo State, Brazil, have developed a computer program that analyzes molecules in blood plasma to search for biomarkers that identify individuals who are at risk of becoming overweight and developing obesity-related diseases.
09.03.2020Treatment of a heart attack or stroke caused by vascular occlusion must be prompt to prevent further damage to vital tissue. Unfortunately, the actual treatment is often preceded by a lengthy catheter-based procedure where the cardiologist manually guides the catheter to the affected vessel. AI might perform this task in the future.
09.03.2020A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they've been in about a minute, and direct those deemed at risk to the nearest definitive testing facility, investigators say.
05.03.2020Rutgers engineers have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs.
27.02.2020Artificial intelligence has been used for the first time to instantly and accurately measure blood flow, in a study led by UCL and Barts Health NHS Trust. The results were found to be able to predict chances of death, heart attack and stroke, and can be used by doctors to help recommend treatments which could improve a patient's blood flow.
26.02.2020An artificial neural network can reveal patterns in huge amounts of gene expression data and discover groups of disease-related genes. This has been shown by a new study led by researchers at Linköping University, published in Nature Communications. The scientists hope that the method can eventually be applied within precision medicine and individualized treatment.
20.02.2020Researchers at Texas Heart Institute (THI) and UCLA crossed a significant milestone in the development of wirelessly powered, leadless pacemakers. In an article in the Nature Research journal Scientific Reports, the team used their innovative pacing system to reveal the ability to provide synchronized biventricular pacing to a human-sized heart in a preclinical research model.
19.02.2020Cancer is a public health crisis that afflicts nearly one in two people during their lifetime. Cancer is also an oppressively complex disease. Hundreds of cancer types affecting more than 70 organs have been recorded in the nation's cancer registries - databases of information about individual cancer cases that provide vital statistics to doctors, researchers, and policymakers.
12.02.2020Information gathered from routine visits to the doctor is enough to accurately predict a person's risk of developing Alzheimer's disease and related dementias, according to new research. The researchers developed and tested machine learning algorithms using data from electronic medical records to identify patients who may be at risk for developing the dementia.
10.02.2020Fast, reliable and automatic assessment of the severity of myoclonic jerks from video footage is now possible, thanks to an algorithm using deep convolutional neural network architecture and pretrained models that identify and track keypoints in the human body.
05.02.2020Developing fundamental new approaches against multi-resistant pathogens is the aim of the new Bavarian research network called New Strategies Against Multi-Resistant Pathogens by Means of Digital Networking - bayresq.net. A scientist from FAU is also conducting research in an interdisciplinary sub-project in the network.
03.02.2020Chronic cardiovascular diseases are a growing burden worldwide. Most of them are diseases of civilization that spread, where lifestyle is improving or where it is good already. But the healthcare systems are not growing equally to keep up with this development. We can make up for this by making cardiological care smarter with eHealth and mHealth.
03.02.2020Coronary heart disease can come as a complete surprise and occur suddenly. Cardisiography was designed to lower the risk and make faster intervention possible. As a non-invasive heart screening test, cardisiography offers the possibility of early detection for heart diseases.
29.01.2020Virtual assistants don't yet live up to their considerable potential when it comes to providing users with reliable and relevant information on medical emergencies, according to a new study from University of Alberta researchers.
29.01.2020Evaluating the effectiveness of therapies for neurodegenerative diseases is often difficult because each patient's progression is different. A new study shows artificial intelligence (AI) analysis of blood samples can predict and explain disease progression, which could one day help doctors choose more appropriate and effective treatments for patients.
28.01.2020AI can help cancer patients start their radiation therapy sooner by instantly translating complex clinical data into an optimal plan of attack. Patients typically must wait several days to a week to begin therapy while doctors manually develop treatment plans. But new research shows how enhanced deep-learning models streamlined this process down to a fraction of a second.
27.01.2020After an affected person has a coronary heart assault or stroke, docs usually use danger fashions to assist information their therapy. These fashions can calculate a affected person’s danger of dying primarily based on elements such because the affected person’s age, signs, and different traits.
16.01.2020Researchers at Radboud university medical center have developed a 'deep learning' system that is better than most pathologists at determining the aggressiveness of prostate cancer. The AI system, which uses tissue samples to arrive at its diagnosis, taught itself to identify prostate cancer based on data from over 1200 patients.
10.01.2020Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions essential to human life.
09.01.2020Artificial intelligence can detect one of the most common forms of blood cancer – acute myeloid leukemia (AML) – with high reliability. Researchers at the German Center for Neurodegenerative Diseases (DZNE) and the University of Bonn have now shown this in a proof-of-concept study. Their approach is based on the analysis of the gene activity of cells found in the blood.
09.01.2020Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma. This form of cancer in children, which occurs in specialised nerve cells in the sympathetic nervous system, may be life-threatening.
06.01.2020One of the challenges in using machine learning for drug development is to create a process for the computer to extract needed information from a pool of data points. Drug scientists must pull biological data and train the software to understand how a typical human body will interact with the combinations that come together to form a medication.