Le Lézard6h
Iterative Health to Present AI Advancements at ECCO 2025, Highlighting Potential to Evolve Ulcerative Colitis Clinical Trial Endpoints
Iterative Health, a healthcare technology and services company partnering with physicians to advance gastrointestinal care, will present five abstracts at the European Crohn's & Colitis Organization ...
Medscape8h
How Can Machine Learning Boost T1D Patients’ Time in Range?
The Helmsley Charitable Trust’s T1D Exercise Initiative ( T1-DEXI) datasets provide baseline information on the glycemic ...
Medical training’s AI leap: How agentic RAG, open-weight LLMs and real-time case insights are shaping a new generation of doctors at NYU Langone
NYU Langone has built an LLM research companion and medical advisor, and is pioneering what it calls AI-driven “precision medical education." ...
STAT1d
A newly developed machine learning-based test could diagnose autoimmune diseases faster
Every time you get sick, your body keeps a record of it. It does so through your immune system, a vast army of cells that mobilizes to fight off diseases. And after the infection is over — if it’s ...
Le Lézard3d
NETRAMARK TO PRESENT NOVEL AI-BASED CLINICAL TRIAL TREATMENT SEPARATION TOOLS AT ISCTM ANNUAL MEETING
NetraMark Holdings Inc. (the "Company" or "NetraMark")  a generative AI software leader in clinical trial analytics, announces that it will present new data supporting its mathematically augmented ...
devdiscourse9d
AI in emergency rooms: Study shows machine learning can accurately predict patient outcomes
AI, when properly implemented, has the power to transform emergency medicine by enhancing patient outcomes, reducing ...
Microsoft15d
Geospatial Machine Learning
TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote ... Allocating resources such as shelter, medical ...
ReadWrite16d
Medical tech firm Semler Scientific buys $88M of Bitcoin
Adrian Zmudzinski is a cryptocurrency journalist with over 4,000 articles under his belt. His bylines include Cointelegraph, Benzinga, Crypto.News, and BeInCrypto. We uphold a strict editorial ...
Canada16d
Pre-market guidance for machine learning-enabled medical devices
Machine learning (ML) is the subset of AI that allows ML training algorithms to establish ML models when applied to data, rather than models that are explicitly programmed. Medical devices that use ML ...
qualitysafety.bmj17d
Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives
Machine learning (ML ... periodically to account for changes over time. Continuously learning models present challenges for monitoring performance and ensuring safety over time. Medical regulators, ...
jme.bmj18d
Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?
if machine learning (ML) models are beginning to render some of the high-risk healthcare decisions instead of clinicians, these models pose a novel medicolegal and ethical frontier that is ...
BMJ18d
Gait, physical activity and tibiofemoral cartilage damage: a longitudinal machine learning analysis in the Multicenter Osteoarthritis Study
Objective To (1) develop and evaluate a machine learning model incorporating gait and physical activity to predict medial tibiofemoral cartilage worsening over 2 years in individuals without advanced ...