Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review by Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, Jing Zhao, Jing Zhao, Hedvig Marie Egeland Nordeng, Hedvig Marie Egeland Nordeng, Geir Kjetil Ferkingstad Sandve, Geir Kjetil Ferkingstad Sandve, Milena Pavlovic, Milena Pavlovic, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa

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Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study by Saeed Shakibfar, Saeed Shakibfar, Jing Zhao, Jing Zhao, Jing Zhao, Huiqi Li, Hedvig Nordeng, Hedvig Nordeng, Angela Lupattelli, Angela Lupattelli, Milena Pavlovic, Milena Pavlovic, Geir Kjetil Sandve, Geir Kjetil Sandve, Fredrik Nyberg, Björn Wettermark, Mohammadhossein Hajiebrahimi, Morten Andersen, Maurizio Sessa

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In silico proof of principle of machine learning-based antibody design at unconstrained scale by Rahmad Akbar, Philippe A. Robert, Cédric R. Weber, Michael Widrich, Robert Frank, Milena Pavlović, Lonneke Scheffer, Maria Chernigovskaya, Igor Snapkov, Andrei Slabodkin, Brij Bhushan Mehta, Enkelejda Miho, Fridtjof Lund-Johansen, Jan Terje Andersen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff

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