In January, the U.S. Food and Drug Administration (FDA) issued its first guidance on the use of artificial intelligence (AI)[1] models in drug development and in regulatory submissions titled, ...
The US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) just issued a joint statement outlining 10 “Guiding Principles” ...
Novel AI Drug Toxicity Models to Improve Drug Safety to Be Developed by an Industrial-Academic Group
Inductive Bio, an AI drug discovery partner developing virtual chemistry labs, received an up to $21M award to lead a project to develop next-generation models of drug toxicity to advance safer ...
Study in a Sentence: Cedars-Sinai researchers are developing KronosRx, an artificial intelligence-powered platform that uses human-derived organoids and deep-learning models to forecast adverse drug ...
For decades, the pharmaceutical industry has discussed moving away from in vivo models in preclinical research. Now, it’s more than a conversation. The FDA’s roadmap for reducing animal testing, ...
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 ...
One of the holy grails of biology is digitally simulating a living cell. If researchers can use computers to more accurately understand how new medicines would react in the body, that could give them ...
During a health-focused event in New York on Tuesday, Google announced that it’s developing a collection of “open” AI models for drug discovery called TxGemma. The AI models, which Google said will be ...
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