This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official diagnosis. By using machine learning to analyze clinical notes in electronic ...

Virginia Tech researchers discovered an indication hidden in the brain that may help doctors identify children suffering from a rare genetic disease earlier. Their findings were published recently in ...

MediScan is an AI-powered project that predicts **skin diseases** from images using a deep learning model. It provides a modern web interface (Next.js) where users can upload an image and receive a ...

The largest liver study in the history of the NHS has launched this week, aiming to detect liver disease at an early stage so treatment can begin before it progresses to cirrhosis. Around 70% of ...

Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data, achieving high accuracy even when that data is incomplete or irregular.

Experts at a roundtable in Boston, Massachusetts, on November 3, 2025, discussed improving early Alzheimer disease diagnosis, addressing workforce and equity gaps, and expanding access to new ...

From 60 Minutes comes the story of a Georgia science team that carried the Stars and Stripes to Europe for an international science competition and finished in the top ten by using genetic engineering ...

While Yann LeCun was still Meta’s Chief AI Scientist, he proposed the Joint-Embedding Predictive Architecture, or JEPA, which essentially teaches an AI to infer the meaning of missing data rather than ...

Abstract: Artificial intelligence plays a significant yet challenging role in the automatic detection of pulmonary diseases, aiding radiologists in early diagnosis and treatment initiation. This ...