A computer algorithm can efficiently find genetic mutations that work together to drive cancer as well as other important genetic clues that researchers might someday use to develop new treatments for ...

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 ...

Genetic data is more readily available than ever before—but interpreting it can be a challenge. Without months of work in the laboratory, it can be tough to tell what one of the millions of ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

Lysinuric protein intolerance (LPI) is an autosomal recessive disorder caused by variants in the SLC7A7 gene, leading to impaired transport of dibasic amino acids across intestinal and renal membranes ...

Newly developed artificial intelligence (AI) programs accurately predicted the role of DNA's regulatory elements and three-dimensional (3D) structure based solely on its raw sequence, according to ...

A chatbot might return a single response based on an editorial or opinion piece it "remembers," presenting it as definitive.

With more than 250 peer-reviewed papers published in several high-impact journals, Katalin Susztak, MD, PhD, has opened the ...

Researchers headed by a team at Oregon Health & Science University (OHSU) have created what they claim to be the largest atlas of post-zygotic mutations (PZMs) in healthy human tissue. They generated ...

Some clinical trials for treatments that nip Alzheimer’s disease in the bud rely on recruiting carriers of autosomal-dominant mutations who will develop Alzheimer’s disease in a predictable fashion.