Jul 27, 2023
The paper resulting from the "New COVID-19 Variants - Post Challenge Analysis" challenge was accepted and will soon be published by the Cambridge University Press Journal of Clinical and Translational Science
ARIScience has achieved new recognition in our work to apply AI and quantum chemistry for drug discovery. We were named a finalist in the US government global AI challenge to reliably predict at risk pediatric COVID-19 patients. The paper resulting from this challenge "New COVID-19 Variants - Post Challenge Analysis" was accepted and will soon be published by the Cambridge University Press Journal of Clinical and Translational Science. The manuscript (in its pre-print form currently) not only details what was achieved, but also establishes a powerful framework to predict disease severity in preparation for the next pandemic. Many thanks to the co-authors and researchers from Sage, University of Colorado , BARDA, NIH , Stony Brook University and ARIScience.
Citation: Timothy Bergquist, Marie Wax,Tellen D. Bennett,Richard Moffitt,Jifan Gao,Guanhua Chen,Amalio Telenti,M. Cyrus Maher,Istvan Bartha,Lorne Walker,Benjamin Orwoll, Meenakshi Mishra, Joy Alamgir, Bruce Cragin, Christopher Ferguson, Hui Hsing Wong, Anne Deslattes Mays, Leonie Misquitta, Kerrie DeMarco, Kimberly Sciarretta, Sandeep Patel and Pediatric COVID-19 Challenge Consortium. (2023). A Framework for Future National Pediatric Pandemic Respiratory Disease Severity Triage: The HHS Pediatric COVID-19 Data Challenge. Journal of Clinical and Translational Science, 1-29. doi:10.1017/cts.2023.549