Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients

Megan M. Sperry, Tomiko Oskotsky, Ivana Maric, Shruti Kaushal, Takako Takeda, Viktor Horvath, Rani K. Powers, Melissa Rodas, Brooke Furlong, Mercy Soong, Pranav Prabhala, Girija Goyal, Kenneth E. Carlson, Ronald J. Wong, Idit Kosti, Brian L. Le, James Logue, Holly Hammond, Matthew Frieman, David K. Stevenson, Donald E. Ingber, Marina Sirota, Richard Novák. Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients. PLoS Computational Biology, 19(5), 2023. [doi]

@article{SperryOMKTHPRFS23,
  title = {Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients},
  author = {Megan M. Sperry and Tomiko Oskotsky and Ivana Maric and Shruti Kaushal and Takako Takeda and Viktor Horvath and Rani K. Powers and Melissa Rodas and Brooke Furlong and Mercy Soong and Pranav Prabhala and Girija Goyal and Kenneth E. Carlson and Ronald J. Wong and Idit Kosti and Brian L. Le and James Logue and Holly Hammond and Matthew Frieman and David K. Stevenson and Donald E. Ingber and Marina Sirota and Richard Novák},
  year = {2023},
  doi = {10.1371/journal.pcbi.1011050},
  url = {https://doi.org/10.1371/journal.pcbi.1011050},
  researchr = {https://researchr.org/publication/SperryOMKTHPRFS23},
  cites = {0},
  citedby = {0},
  journal = {PLoS Computational Biology},
  volume = {19},
  number = {5},
}