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 ...

Recent surges in extreme weather events underscore the critical need for advanced climate prediction models. Super El Niño (SE) events, characterized by unprecedented climatic and economic impacts, ...

Bipolar disorder (BD) is a common psychiatric disorder characterized by recurrent alternating manic or depressive episodes, with patients suffering from varying degrees of significant impairment in ...

A popular college football predictive algorithm has Michigan State struggling again this season ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...

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, ...

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 ...

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

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving lack of confidence – followed by project failure. When Henry Castellanos first ...