Deep learning model predicts which heart-failure patients will worsen within a year

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Machine learning models identify key predictors of driving under the influence of alcohol or cannabis

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

Deep learning model enables accurate and scalable drug-drug interaction prediction

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...
Medscape

New Machine Learning Model Predicts In-Hospital Mortality in Acute Liver Failure

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
https//fedtechmagazine.com

How Federated Learning Helps Agencies Build Smarter AI Models Securely

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
The 74Opinion

Precision Learning Has the Potential to Do What Personalized Learning Could Not

Lake: Artificial intelligence, done right, can bring to classrooms the same focus, individualization, urgency and care ...
News-Medical.Net on MSN

AI model flags hidden breast cancers years before diagnosis in routine mammograms

By Hugo Francisco de Souza A large NHS screening study shows that artificial intelligence can detect subtle signals in ...
Chromatography Online

AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide Retention Times

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...