Rising energy transmission needs are evolving pipelines into integrated, coupled Energy Transportation Systems (ETS), where ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
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 ...
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
Scientists develop spatiotemporal correlation-based deep learning framework for bias correction of atmospheric and oceanic variables ...
A research team co-led by scientists at the Netherlands Cancer Institute (NKI) and Oncode Institute has developed a deep learning model, PARM (promoter activity regulatory model) that offers up new ...
Que.com on MSN
OpenAI unveils new cybersecurity AI model and strategy
Introduction In an era where data breaches and cyber threats are on the rise, organizations are seeking advanced solutions to ...
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
Opinion
11dOpinion
How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results