Subbian, Vignesh

Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence

Walsh, C. G., Chaudhry, B., Dua, P., Goodman, K. W., Kaplan, B., Kavuluru, R., Solomonides, A., & Subbian, V. (2020) · JAMIA Open

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 118

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

Prats-Uribe, A., Sena, A. G., Lai, L. Y. H., Ahmed, W.-U.-R., Alghoul, H., Alser, O., Alshammari, T. M., Areia, C., Carter, W., Casajust, P., et al. (2021) · BMJ

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 68

Acute Post-Traumatic Sleep May Define Vulnerability to a Second Traumatic Brain Injury in Mice

Rowe, R. K., Harrison, J. L., Morrison, H. W., Subbian, V., Murphy, S. M., & Lifshitz, J. (2019) · Journal of Neurotrauma

Traumatic Brain Injury and Neurovascular DisturbancesTraumatic Brain Injury Research

Cited by 34

Designing and evaluating contextualized drug–drug interaction algorithms

Chou, E., Boyce, R. D., Balkan, B., Subbian, V., Romero, A., Hansten, P. D., Horn, J. R., Gephart, S., & Malone, D. C. (2021) · JAMIA Open

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 34

Assessing reproducibility and veracity across machine learning techniques in biomedicine: A case study using TCGA data

Kim, A. A., Rachid Zaim, S., & Subbian, V. (2020) · International Journal of Medical Informatics

Gene expression and cancer classificationBreast Cancer Treatment Studies

Cited by 18

Advancing Health Equity through Multi-Level Fairness in Health Informatics

Souligne, N., & Subbian, V. (2026) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 0