Population Data-Driven Formulation of a COVID-19 Therapeutic.

Heather R CampbellRegan P CecilRobert A Lodder

Published in: medRxiv : the preprint server for health sciences (2020)

This study is designed to utilize computer modeling of the US population through NHANES to reduce the need for preclinical formulation and toxicology studies of an Ebola anti-viral (BSN389) being repurposed for COVID-19, and to thereby speed the candidate therapeutic to the clinic.

Keyphrases

sars cov
coronavirus disease
drug delivery
primary care
respiratory syndrome coronavirus
deep learning
stem cells
cell therapy
machine learning
mesenchymal stem cells
case control