AI indicates which symptoms might be leading indicators of COVID-19

Via VentureBeat

“’Our findings from the EHR analysis of COVID-19 progression can aid in a human pathophysiology enabled summary of the experimental therapies being investigated for COVID-19,’ concluded the coauthors. ‘A caveat of relying solely on [electronic medical record] inference is that mild phenotypes that may not lead to a presentation for clinical care, such as anosmia, may go unreported in otherwise asymptomatic patients. As at-home serology-based tests for COVID-19 with high sensitivity and specificity are approved, capturing these symptoms will become increasingly important in order to facilitate the continued development and refinement of disease models. EHR-integrated digital health tools may help address this need.'”

“The work was a part of the Mayo Clinic’s ongoing collaboration with Cambridge-based Nference, a participant in Mayo’s Clinical Data Analytics Platform program. Since January, Nference’s chief focus has been identifying targets and biomarkers for new drugs, matching patients with therapeutic regimens, and devising applications such as label expansion, postmarketing surveillance, and drug purposing.”

See more details on the nference’s findings from Mayo Clinic’s data from Venture Beat

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