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 ...

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 ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

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 ...

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...

India, March 21 -- A new study published in Nature Cardiovascular Research is reshaping how artificial intelligence ...