New AI voice screening method improves detection of anxiety and depression
Scientists at the National Center for Supercomputing Applications and the University of Illinois College of Medicine Peoria (UICOMP) were authors of a ...
Tag: Machine Learning
Machine learning identifies key comorbidities predicting premature death in IBD patients
New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in ...
LabGenius Therapeutics appoints three experts to its team of scientific advisors
LabGenius Therapeutics (“LabGenius”), a drug discovery company pioneering the use of machine learning and high-throughput experimentation to optimise complex therapeutic antibodies, ...
Why do people with obesity, but without diabetes, start taking semaglutide?
Factors such as sex, type of insurance plan, and the use of common medications influenced whether individuals with obesity but ...
Database ranks 50,000 processed foods
Researchers found that in some stores, highly processed foods were the only option in some categories Study: Prevalence of processed ...
Machine learning reveals why cancer trials fall short in real-world patients
TrialTranslator uncovers the survival gap for high-risk patients and offers a path to better cancer research. Study: Evaluating generalizability of oncology ...
Can AI chatbots master the science of dietary balance?
AI-driven chatbots, including ChatGPT 4.0, Gemini, and Microsoft Copilot, were assessed for their ability to create weight-loss meal plans. While ...
Spatial aging clocks reveal how T cells and neural stem cells shape brain aging
Discover how cutting-edge spatial aging clocks decode the aging brain, uncovering the dual roles of immune and stem cells in ...
New method detects Parkinson's disease through emotional brain responses
A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection ...
Machine learning model predicts CDK4/6 inhibitor effectiveness in metastatic breast cancer
A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic ...