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 ...

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 ...

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, ...

In a novel study, researchers introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants across the genome. Unlike current methods that ...

In the last several years, large language models (LLMs) like ChatGPT and Bard have shown the world the astounding power of generative AI for language creation tools. However, some of the most exciting ...

—Researchers recently identified 2 distinct genetic subgroups in follicular lymphoma, shedding light on the factors influencing its transformation to diffuse large B-cell lymphoma. What are the ...

A new research paper titled "Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas: next-generation sequencing and machine learning for full tumor exome analysis" has been ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

STOCKHOLM — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning. "This year's two Nobel ...