AI-powered gene maps reveal the hidden control centers driving Alzheimer’s disease — and point to new hope for treatment.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

The study uncovers obesity's genetic links to chronic diseases, offering insights into multimorbidity and the potential for targeted health interventions.

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...

Columnist Michael Le Page delves into a catalogue of hundreds of potentially beneficial gene mutations and variants that is ...

The genealogy site’s clarification of its terms and conditions has barred those working on unsolved crimes from access to the company’s vast trove of records. By Corey Kilgannon Since online genealogy ...

Dengue remains a significant and critical global health concern, especially in resource-constrained and remote regions, where traditional IgG/IgM-based testing is often delayed or not conducted ...

Introduction: Effective energy management for optimizing energy and speed allocation for athletes in road cycling individual time trials is crucial due to the race’s long distances. Existing ...

In this video, I demonstrate how I trained an AI to play the classic game of Snake What happened with the 14th Amendment? Hochul calls for action after 'timeout' boxes found at NY schools Taylor Swift ...

Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning Algorithm We identified a cohort of 1,201 ...