Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. - A. J. Venkatakrishnan; Arjun Puranik; Akash Anand; David Zemmour; Xiang Yao; Xiaoying Wu; Ramakrishna Chilaka; Dariusz K. Murakowski; Kristopher Standish; Bharathwaj Raghunathan; Tyler Wagner; Enrique Garcia-Rivera; et al. (CoRR, 2020)

Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis. - F. N. U. Shweta; Karthik Murugadoss; Samir Awasthi; A. J. Venkatakrishnan; Arjun Puranik; Martin Kang; Brian W. Pickering; John C. O'Horo; Philippe R. Bauer; Raymund R. Razonable; Paschalis Vergidis; Zelalem Temesgen; et al. (CoRR, 2020)

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)

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)