Publications

J. Narvid, D. McCoy, S.M. Dupont, A. Callen, D. Tosun, J. Hellmuth and V. Valcour (2023). Abnormal Cerebral Perfusion Profile in Older Adults with HIV-Associated Neurocognitive Disorder: Discriminative Power of Arterial Spin-Labeling.

D.B. McCoy, S.M. Dupont, C. Gros, J. Cohen-Adad, R.J. Huie, A. Ferguson, X. Duong-Fernandez, L.H. Thomas, V. Singh, J. Narvid, L. Pascual, N. Kyritsis, M.S. Beattie, J.C. Bresnahan, S. Dhall, W. Whetstone, J.F. Talbott and TRACK-SCI Investigators (2023). Convolutional Neural Network–Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury.

Michele M. Tana, David McCoy, Briton Lee, Roshan Patel, Joseph Lin & Michael A. Ohliger (2023). Texture features from computed tomography correlate with markers of severity in acute alcohol-associated hepatitis.

Azhagiya Singam Ettayapuram Ramaprasad, Martyn T Smith, David McCoy, Alan E Hubbard, Michele A La Merrill, Kathleen A Durkin (2023). Predicting the binding of small molecules to nuclear receptors using machine learning.

Ethan Winkler, David Wu, Eugene Gil, David McCoy, Kazim Narsinh, Zhengda Sun, Kerstin Mueller, Jayden Ross, Helen Kim, Shantel Weinsheimer, Mitchel Berger, Tomasz Nowakowski, Daniel Lim, Adib Abla, Daniel Cooke (2023). Endoluminal biopsy for molecular profiling of human brain vascular malformations.

Azhagiya Singam Ettayapuram Ramaprasad, Martyn T Smith, David McCoy, Alan E Hubbard, Michele A La Merrill, Kathleen A Durkin (2023). Predicting the Binding of Small Molecules to Nuclear Receptors Using Machine Learning and Molecular Modeling Techniques.

David McCoy, Whitney Mgbara, Nir Horvitz, Wayne M. Getz and Alan Hubbard (2023). Ensemble machine learning of factors influencing COVID-19 across US counties. https://www.nature.com/articles/s41598-021-90827-x.