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 ...

Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

As European wind sector’s voluntary landfill ban goes live, pan-European Project demonstrates composite material recovery and ...

Stakeholder skepticism about machine learning often rings true: If the data scientist hasn’t measured the potential value, then how could the project be pursuing value? Executives know the importance ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

Panelists discuss how clinical decision support tools, care pathways, and artificial intelligence can address primary care workforce shortages by providing real-time guidance, predictive modeling for ...

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 ...

Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

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