For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

Overview Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale.Leading firms now combine ...

On one hand, we need raw materials such as copper for the transition to climate-friendly technologies, but on the other hand, ...

Over the last decade, technology-assisted review (TAR) has become a preferred choice in the e-discovery toolkit. Now, as ...

In part two of this three-part series, AI scientists immerse themselves in the world of primatology to accelerate behavioral ...

For years, the AI field focused on one goal: making systems remember better. We trained models on massive datasets and ...

If AI-generated video and audio get good enough, deepfake detectors based on visual artifacts or other traditional signals ...

This article introduces the field of bioinformatics and its importance as a cornerstone of biological research, as well as ...

Background Adverse childhood experiences (ACEs) are linked to poor health and social outcomes, with growing interest in their ...