Predictive Models for Cytochrome P450 Isozymes Based on Quantitative High Throughput Screening Data. - Hongmao Sun; Henrike Veith; Menghang Xia; Christopher P. Austin; Ruili Huang (J. Chem. Inf. Model., 2011)

Structure Based Model for the Prediction of Phospholipidosis Induction Potential of Small Molecules. - Hongmao Sun; Sampada Shahane; Menghang Xia; Christopher P. Austin; Ruili Huang (J. Chem. Inf. Model., 2012)

Exploring Novel Biologically-Relevant Chemical Space Through Artificial Intelligence: The NCATS ASPIRE Program. - Katharine K. Duncan; Dobrila D. Rudnicki; Christopher P. Austin; Danilo A. Tagle (Frontiers Robotics AI, 2019)

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. - Melissa A. Haendel; Christopher G. Chute; Tellen D. Bennett; David A. Eichmann; Justin Guinney; Warren A. Kibbe; Philip R. O. Payne; Emily R. Pfaff; Peter N. Robinson; Joel H. Saltz; Heidi Spratt; Christine Suver; et al. (J. Am. Medical Informatics Assoc., 2021)

Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). - Jason A. Thomas; Randi E. Foraker; Noa Zamstein; Jon D. Morrow; Philip R. O. Payne; Adam B. Wilcox; Melissa A. Haendel; Christopher G. Chute; Kenneth R. Gersing; Anita Walden; Tellen D. Bennett; David A. Eichmann; et al. (J. Am. Medical Informatics Assoc., 2022)