Genetic algorithms and the recombination problem Discussions around AI creativity often focus on neural networks, which ...

In a new paper published in the journal Trends in Genetics researchers from the University of Vermont and Trinity College Dublin propose an innovative analogy between AI models and genetic encoding to ...

Researchers at the Paul Scherrer Institute PSI have developed an AI that could open up a new, cost-effective approach to identifying genetic perturbation patterns in cell images—potentially enabling ...

The legal pressure on Tempus—which uses its massive trove of genetic information to train AI algorithms used in patient care—comes amid growing national concern over the commoditization of DNA data. A ...

Forbes contributors publish independent expert analyses and insights. AI researcher working with the UN and others to drive social change. Jun 12, 2025, 07:50am EDT DNA strands - 3d images of DNA ...

An AI-powered tool from Carnegie Mellon University and collaborators is helping uncover genetic clues to rare diseases, potentially accelerating diagnoses and treatments for conditions that affect ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

In recent years, artificial intelligence (AI) technologies have rapidly penetrated the life sciences industries and have been ...

Cardiovascular diseases are significant contributors to both global morbidity and mortality, highlighting the pressing need for enhanced risk assessment ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. The loudest conversations in artificial intelligence are still ...

A healthcare technology firm was hit last week with a novel class action that accuses it of illegally mining Illinois residents' genetic testing data to train its artificial intelligence algorithms. A ...