WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...
Scientists at the University of Colorado Anschutz have discovered that while brain neuron changes, including cell loss, may ...
Two scientists at the Johns Hopkins School of Medicine have been selected for membership in the National Academy of Inventors, the highest professional distinction awarded solely to inventors. Drug ...
Abstract: Central nervous system (CNS) diseases such as glioblastoma (GBM), multiple sclerosis (MS), and Alzheimer's disease (AD) remain challenging due to their complexity and limited treatments.
One person's side effect could be another person's treatment if we expand our perspective on small molecule drug targets, according to a new study published November 5, 2025, in npj Precision Oncology ...
Paris Jackson defended giving a graphic look at her perforated septum while discussing her years of drug abuse. “👋🏼☺️ to the people wondering why i shared this, it’s not for you ♥️,” she wrote in ...
Purpose: Drug-resistant ESKAPE pathogens represent a major global health challenge. This study included a comprehensive bibliometric analysis and systematic review to evaluate drug repurposing efforts ...
Algorithms used for consumer predictions are being retooled to help identify which medicines are optimal and may carry hidden risks for patients. Researchers from Monash University used a different ...
Artificial intelligence (AI) is expanding clinical trial access and enabling drug repurposing, according to Vivek Subbiah, MD. He adds that AI supports drug repurposing by uncovering new actionable ...
In a group of health-related headlines, one says "Hope for new drug approach. As government-supported research in the US is being decimated by funding cuts, it was refreshing to attend iDR25 (the ...
Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...
Old drugs, new ideas. That’s one of the core drivers of using artificial intelligence (AI) for drug development. Researchers using complex AI-fueled methods are now taking aim at what has become a ...
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