Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

The platform features a dedicated auditing system, making it the most transparent and audit-ready scientific solution ...

When he was just a teenager trying to decide what to do with his life, César de la Fuente compiled a list of the world’s ...

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...

Scientists have created the most detailed maps yet of how genes control one another inside the brains of people with Alzheimer’s disease. Using a powerful new AI-based system called SIGNET, the team ...

Last week, during a stop in Nashville on his Take Back Your Health tour, the Health and Human Services secretary brought up the technology between condemning ultra-processed foods and urging Americans ...

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

The idea of self-amplifying gene editing is to get cells to pass on packages of CRISPR machinery to their neighbours, boosting the effect ...

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: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...