GEN

Prime Editing and Machine Learning Aid Researchers in Determining the Best Fix for Genetic Flaws

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 ...
The Stanford Daily

Research Roundup: Brain degeneration, machine learning for identifying diseases and AI-generated genetic code

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 ...
News Medical

New machine learning algorithm ranks drugs based on efficacy in reducing cancer cell growth

Researchers from the Queen Mary University of London have developed a machine learning algorithm that ranks drugs based on their efficacy in reducing cancer cell growth. The approach may have the ...
The Conversation

Machine learning plus insights from genetic research shows the workings of cells – and may help develop new drugs for COVID-19 and other diseases

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 ...