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UrduA new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.
Tag: machine learning algorithms
UTHealth Houston study: Unruptured brain aneurysms may be missed in routine clinical care, but AI-powered algorithm can help
Unruptured cerebral aneurysms of sizes and locations that require attention may be frequently missed in routine clinical care, but a machine learning algorithm could minimize missed care opportunities, according to a new study from UTHealth Houston.
Mount Sinai Researchers Use Artificial Intelligence to Uncover the Cellular Origins of Alzheimer’s Disease and Other Cognitive Disorders
Deep learning models represent “an entirely new paradigm for studying dementia”
UCLA researchers use artificial intelligence tools to speed critical information on drug overdose deaths
Fast data processing of overdose deaths, which have increased in recent years, is crucial to developing a rapid public health response. But the system now in place lacks precision and takes months. To correct that, UCLA researchers have developed an automated process that reduces data collection to a few weeks.
ORNL’s Maldonado receives 2022 ASME Old Guard Early Career Award
The American Society of Mechanical Engineers, or ASME, selected Oak Ridge National Laboratory (ORNL) researcher Bryan Maldonado for the 2022 Old Guard Early Career Award. He was recognized for exceptional service to ASME activities including science and engineering student mentorship.
Machine-learning algorithms can help health care staff correctly diagnose alcohol-associated hepatitis, acute cholangitis
New Mayo Clinic research finds that machine-learning algorithms can help health care staff distinguish the two conditions. In an article published in Mayo Clinic Proceedings, researchers show how algorithms may be effective predictive tools using a few simple variables and routinely available structured clinical information.
Mount Sinai Researchers Develop Machine Learning Model that Can Detect and Predict COVID-19 from Collected Data on Wearable Devices
Mount Sinai researchers have developed a machine learning algorithm that can determine if an individual has SARS-CoV-2 infections, the virus that causes COVID-19—with a high sensitivity and specificity—from the data collected by wearable devices.
Computational discovery of complex alloys could speed the way to green aviation
Experts at the U.S. Department of Energy’s Ames Laboratory and their collaborators have identified the way to tune the strength and ductility of a class of materials called high-entropy alloys. The discovery may help power-generation and aviation industry develop more efficient engines.