For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...

A new deep learning algorithm can pick up the molecular pathways and development of key mutations causing colorectal cancer more accurately than existing methods, meaning patients could benefit from ...

Weill Cornell Medicine researchers are using machine learning, a form of artificial intelligence, to shed light on genetic mutations associated with spina bifida. In this birth defect, the neural tube ...

Shang Gao is bioinformatics Ph.D. student at University of Illinois at Chicago (UIC). Jalees Rehman receives funding from the National Institutes of Health (NIH). We combined a machine learning ...

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one ...

Researchers at the Wellcome Sanger Institute used prime editing to develop a novel tool to predict the chances of successfully inserting a gene-edited sequence of DNA into the genome of a cell. An ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...