Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

A new scoping review reveals how inconsistencies in labeling practices and high bias risk in delirium prediction studies ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don't ...

When you're trying to communicate or understand ideas, words don't always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept—for example, diagramming a ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...