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Computational Tool Helps Find Molecules With COVID-19-Fighting Properties


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A year into the COVID-19 pandemic, mass vaccinations have begun to raise the tantalizing prospect of herd immunity that eventually curtails or halts the spread of SARS-CoV-2. But what if herd immunity is never fully achieved - or if the mutating virus gives rise to hyper-virulent variants that diminish the benefits of vaccination?
Those questions underscore the need for effective treatments for people who continue to fall ill with the coronavirus. While a few existing drugs show some benefit, there s a pressing need to find new therapeutics.
Led by The University of New Mexico s Tudor Oprea, MD, PhD, scientists have created a unique tool to help drug researchers quickly identify molecules capable of disarming the virus before it invades human cells or disabling it in the early stages of the infection. ....

United States , Nat Mach Intell , Suman Sirimulla , School Of Medicine , Translational Informatics Division , National Center , University Of New Mexico Tudor Oprea , University Of Texas At El Paso , Translational Sciences , New Mexico , Tudor Oprea , Nature Machine Intelligence , Advancing Translational Sciences , Nat Mach , ஒன்றுபட்டது மாநிலங்களில் , நாட் மச் இன்டெல் , பள்ளி ஆஃப் மருந்து , மொழிபெயர்ப்பு தகவல் பிரிவு , தேசிய மையம் , பல்கலைக்கழகம் ஆஃப் டெக்சாஸ் இல் எல் பாசோ , மொழிபெயர்ப்பு அறிவியல் , புதியது மெக்ஸிகோ , இயற்கை இயந்திரம் உளவுத்துறை ,

Making the role of AI in medicine explainable


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IMAGE: Detection of tumor-infiltrating lymphocytes (TILs) using explainable AI. The AI-technique is used to generate a heatmap showing TILs (red) and other tissues and cells (blue and green).
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Credit: Image: Klauschen/Charité
Researchers at Charité - Universitätsmedizin Berlin and TU Berlin as well as the University of Oslo have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence (AI). Two further developments make this system unique: For the first time, morphological, molecular and histological data are integrated in a single analysis. Secondly, the system provides a clarification of the AI decision process in the form of heatmaps. Pixel by pixel, these heatmaps show which visual information influenced the AI decision process and to what extent, thus enabling doctors to understand and assess the plausibility of the results of the AI analysis. This represents a decisive and esse ....

Nat Mach Intell , Frederick Klauschen , Institute Of Pathology , University Of Oslo , Nature Machine , Berlin Institute , Mach Intell , Cell Biology , Medicine Health , Breast Cancer , Health Care Systems Services , Robotry Artificial Intelligence , நாட் மச் இன்டெல் , நிறுவனம் ஆஃப் நோயியல் , பல்கலைக்கழகம் ஆஃப் ஒசிலோ , இயற்கை இயந்திரம் , பெர்லின் நிறுவனம் , மச் இன்டெல் , செல் உயிரியல் , மருந்து ஆரோக்கியம் , மார்பக புற்றுநோய் , ஆரோக்கியம் பராமரிப்பு அமைப்புகள் சேவைகள் ,