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 ...

Convicted sex offender Jeffrey Epstein paid for genetic testing in an apparent bid to harness his own genetic material for regenerative medicine – which is aimed at repairing the body by developing ...

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

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...

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 ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it takes for cells to behave in desired ways—for example, getting them to produce ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...