Mapping each pre-existing condition's association to short-term and long-term COVID-19 complications. - A. J. Venkatakrishnan; Colin Pawlowski; David Zemmour; Travis Hughes; Akash Anand; Gabriela Berner; Nikhil Kayal; Arjun Puranik; Ian Conrad; Sairam Bade; Rakesh Barve; Purushottam Sinha; et al. (npj Digit. Medicine, 2021)

Building a best-in-class automated de-identification tool for electronic health records through ensemble learning. - Karthik Murugadoss; Ajit Rajasekharan; Bradley A. Malin; Vineet Agarwal; Sairam Bade; Jeff R. Anderson; Jason L. Ross; William A. Faubion Jr.; John D. Halamka; Venky Soundararajan; Sankar Ardhanari (Patterns, 2021)

HypUC: Hyperfine Uncertainty Calibration with Gradient- boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms. - Uddeshya Upadhyay; Sairam Bade; Arjun Puranik; Shahir Asfahan; Melwin Babu; Francisco Lopez-Jimenez; Samuel J. Asirvatham; Ashim Prasad; Ajit Rajasekharan; Samir Awasthi; Rakesh Barve (Trans. Mach. Learn. Res., 2023)