01114nas a2200241   4500000000100000000000100001008004100002260001500043653004500058653002100103653001500124653001800139100001900157700001900176700001500195700002100210245006100231856005500292300000800347490000600355520049700361022001400858       2025                            d  c2025-04-1010aComputational biology and bioinformatics10aComputer science10agovernment10aPublic Health1 aThomas Hartung1 aMaurice Whelan1 aWeida Tong1 aRobert M. Califf00aIs regulatory science ready for artificial intelligence?  uhttps://www.nature.com/articles/s41746-025-01596-0  a1-50 v83 aTrust is key in AI for regulatory science, but its definition is debated. If AI models use different features yet perform similarly, which should be trusted? If scientific theories must be testable, how critical is explainability? At the Global Summit on Regulatory Science (GSRS24), regulators agreed that successful AI adoption requires ongoing dialogue, adaptability, and AI-trained personnel to harness its potential for regulatory responsibilities in the evolving 21st-century landscape.  a2398-6352