Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...

Compound potency prediction is a popular application of machine learning in drug discovery, for which increasingly complex models are employed. The general aim is the identification of new chemical ...

Societally relevant weather impacts typically result from compound events, which are rare combinations of weather and climate drivers. Focussing on four event types arising from different combinations ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...