A deep learning platform may help predict how people with advanced lung cancer will respond to immunotherapy, according to study results.Patients determined by a biology-guided AI model to be at high ...
In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...
Safety and biomarker assessment of ST316, a novel peptide antagonist of ß-catenin, in patients with advanced solid tumors. This is an ASCO Meeting Abstract from the 2025 ASCO Gastrointestinal Cancers ...
A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
At the University of Electro-Communications, a research team led by Mizuho Asako, Yasuyuki Tahara, Akihiko Ohsuga, and Yuichi Sei has developed a new deep learning model called "HikingTTE" that ...
Use of an artificial intelligence model to predict Ki67 from H&E-stained whole slides images in breast cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
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