A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Healthcare leaders have spent years trying to figure out how to manage the rising cost of aging, especially when it comes to ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

Over time, the loss of human expertise caused by AI use can impair the quality of that very AI—in the worst case, insidiously and unnoticed. This is the finding of a new study by researchers from the ...

Every day, millions of people input prompts (whether questions or instructions) into AI tools such as ChatGPT, Perplexity, Claude, DALL-E, or Meta AI. Recently, media coverage highlighted what seemed ...

Introduction The provision of optimal care for older adults with complex chronic conditions (CCCs) poses significant challenges due to the interplay of multiple medical, pharmacological, functional ...

Quantum computing innovations have garnered significant attention for their potential to revolutionize industries, with the energy sector being one of the most promising areas for application. As ...