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 ...
Tech Xplore on MSN

AI model trained on 14,000 Urdu news stories spots misinformation with 96% accuracy

A deep learning model trained on more than 14,000 Pakistani news articles can spot misinformation with 96% accuracy, according to a new report in academic journal Scientific Reports. It's the most ...
Nature

Distributed Deep Learning and Model Parallelism

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...
Tech Xplore

New deep learning framework solves the cold-start problem

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

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 ...
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 ...
University at Buffalo

As wildfires intensify, UB researchers test if AI can improve fire spread prediction

Evaluation of deep learning tools underscores the strengths, limitations and opportunities for next‑generation hybrid modeling.
Analytics Insight

Deep Generative Models, Stanford University

Stanford University’s Deep Generative Models (XCS236) is a graduate-level, professional online course offered by the Stanford ...
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, ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

As wildfires intensify, researchers test if AI can improve fire spread prediction

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...