AI tool predicts autoimmune disease risk using genomic data
The artificial intelligence-driven EXPRESSO model uses genomic data, epigenetics and other information to identify risk genes for autoimmune disease.
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The artificial intelligence-driven EXPRESSO model uses genomic data, epigenetics and other information to identify risk genes for autoimmune disease.
Researchers at Penn State College of Medicine developed a new AI algorithm (EXPRESSO) which analyzes genetic data to predict autoimmune diseases earlier and identify potential therapies by pinpointing genes with cell-type specific effects.
Researchers from Penn State College of Medicine and the University of Minnesota conducted a study to see if drugs like dextromethorphan, which is used to treat
Get latest articles and stories on Health at LatestLY. Medications like dextromethorphan, used to treat coughs caused by cold and flu, could potentially be repurposed to help people quit smoking cigarettes, according to a study by Penn State College of Medicine and University of Minnesota researchers. They developed a novel machine learning method, where computer programs analyze data sets for patterns and trends, to identify the drugs and said that some of them are already being tested in clinical trials. Health News | Machine Learning Identifies Drugs to Help Smokers Quit.
A medication commonly used to treat coughs may help people quit smoking, researchers have discovered with machine learning.