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

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

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

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

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

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 ...

A breakthrough AI system could transform millions of lives—and reshape an entire industry worth more than most countries' GDP In an era where healthcare costs are bankrupting families and overwhelming ...

a state in which the body doesn’t use the hormone insulin properly. People with prediabetes are at an increased risk of developing type 2 diabetes and may also be at risk of developing ...

CME activities, cases, challenges, videos, and more teaching and learning tools from the New England Journal of Medicine.