Researchers at the University of Michigan Health Rogel Cancer Center have identified a mechanism that causes severe gastrointestinal problems with immune-based
Decoding crop genetics with artificial intelligence msu.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from msu.edu Daily Mail and Mail on Sunday newspapers.
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IMAGE: Be decoding plant genetics, the MSU researchers hope to help farmers grow crops with genes that give their plants the best chance to withstand threats like drought and disease. view more
Credit: Michigan State University
We live in a time when it s never been easier or less expensive to sequence a plant s complete genome. But knowing all a plant s genes is not the same thing as knowing what all those genes do.
Michigan State experts in plant biology and computer science plan to close that gap with the help of artificial intelligence and a new $1.4 million grant from the National Science Foundation. Ultimately, the goal is to help farmers grow crops with genes that give their plants the best chance to withstand threats such as drought and disease.
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Peri-implantitis, a condition where tissue and bone around dental implants becomes infected, besets roughly one-quarter of dental implant patients, and currently there s no reliable way to assess how patients will respond to treatment of this condition.
To that end, a team led by the University of Michigan School of Dentistry developed a machine learning algorithm, a form of artificial intelligence, to assess an individual patient s risk of regenerative outcomes after surgical treatments of peri-implantitis.
The algorithm is called FARDEEP, which stands for Fast and Robust Deconvolution of Expression Profiles. In the study, researchers used FARDEEP to analyze tissue samples from a group of patients with peri-implantitis who were receiving reconstructive therapy. They quantified the abundance of harmful bacteria and certain infection fighting immune cells in each sample.