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Decoding crop genetics with artificial intelligence


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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.
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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. ....

United States , Jiliang Tang , Melissa Lehti Shiu , Han Shiu , Yuying Xie , Department Of Computational Mathematics , College Of Natural Science , College Of Engineering Department Computer Science , College Of Engineering , National Science Foundation , Department Of Plant Biology , National Science , Natural Science , Plant Biology , Computational Mathematics , Computer Science , ஒன்றுபட்டது மாநிலங்களில் , ஹான் ஷியு , துறை ஆஃப் கணக்கீட்டு கணிதம் , கல்லூரி ஆஃப் இயற்கை அறிவியல் , கல்லூரி ஆஃப் பொறியியல் துறை கணினி அறிவியல் , கல்லூரி ஆஃப் பொறியியல் , தேசிய அறிவியல் அடித்தளம் , துறை ஆஃப் ஆலை உயிரியல் , தேசிய அறிவியல் , இயற்கை அறிவியல் ,

AI helps predict treatment outcomes for patients with diseased dental implants


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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. ....

Michigan State University , United States , Jeff Wang , William Giannobile , Yuying Xie , University Of Michigan School Dentistry , Harvard School Of Dental Medicine , Rogel Cancer Center , Um School Of Dentistry , Michigan School , Robust Deconvolution , Rogel Cancer , Harvard School , Um School , Michigan State , மிச்சிகன் நிலை பல்கலைக்கழகம் , ஒன்றுபட்டது மாநிலங்களில் , ஜெஃப் வாங் , பல்கலைக்கழகம் ஆஃப் மிச்சிகன் பள்ளி பல் மருத்துவம் , ஹார்வர்ட் பள்ளி ஆஃப் டெஂடல் மருந்து , ரோஜல் புற்றுநோய் மையம் , உம் பள்ளி ஆஃப் பல் மருத்துவம் , மிச்சிகன் பள்ளி , ரோஜல் புற்றுநோய் , ஹார்வர்ட் பள்ளி , உம் பள்ளி ,