Predictive modeling compound prioritization has become a central strategy in modern drug discovery, enabling researchers to triage large chemical libraries with increased precision. As compound ...

Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.

Models built on machine learning in health care can be victims of their own success, according to researchers at the Icahn School of Medicine and the University of Michigan. Their study assessed the ...

Camrelizumab combined with rivoceranib and TACE in the perioperative treatment of hepatocellular carcinoma: A randomized, open-label multicenter trial. This is an ASCO Meeting Abstract from the 2025 ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...