652990 external_news 1637248545 1637248545 The symptoms and side effects of Covid-19 are scattered across a diagnostic spectrum. Some patients are asymptomatic or experience a mild immune response, while others report significant long-term illnesses, lasting complications, or suffer fatal outcomes. Three researchers from the School of Biological Sciences  — Professor, Mary and Maisie Gibson Chair, and GRA Eminent Scholar in Computational Systems Biology Jeffrey Skolnick; Ph.D.  student Courtney Astore, and senior research scientist Hongyi Zhou — and one from Emory University are trying to help clinicians sort through these factors and spectrum of patient outcomes by equipping healthcare professionals with a new “decision prioritization tool.” The team’s new artificial intelligence-based tool helps clinicians understand and better predict which adverse effects their Covid-19 patients could experience, based on comorbidities and current side effects — and, in turn, also helps suggest specific Food and Drug Administration-approved (FDA) drugs that could help treat the disease and improve patient health outcomes.

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