Aghaeepour, Nima

CytoNorm: A Normalization Algorithm for Cytometry Data

Van Gassen, S., Gaudilliere, B., Angst, M. S., Saeys, Y., & Aghaeepour, N. (2020) · Cytometry Part A

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 234

Digital health application integrating wearable data and behavioral patterns improves metabolic health

Zahedani, A. D., McLaughlin, T., Veluvali, A., Aghaeepour, N., Hosseinian, A., Agarwal, S., Ruan, J., Tripathi, S., Woodward, M., Hashemi, N., et al. (2023) · npj Digital Medicine

Mobile Health and mHealth ApplicationsDiabetes Management and Research

Cited by 96

Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights

Tang, A. S., Rankin, K. P., Cerono, G., Miramontes, S., Mills, H., Roger, J., Zeng, B., Nelson, C., Soman, K., Woldemariam, S., et al. (2024) · Nature Aging

Dementia and Cognitive Impairment ResearchMachine Learning in Healthcare

Cited by 86

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

Fleming, S. L., Lozano, A., Haberkorn, W. J., Jindal, J. A., Reis, E., Thapa, R., Blankemeier, L., Genkins, J. Z., Steinberg, E., Nayak, A., et al. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 66

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

Fleming, S. L., Lozano, A., Haberkorn, W. J., Jindal, J. A., Reis, E. P., Thapa, R., Blankemeier, L., Genkins, J. Z., Steinberg, E., Nayak, A., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 65

Improvement in Glucose Regulation Using a Digital Tracker and Continuous Glucose Monitoring in Healthy Adults and Those with Type 2 Diabetes

Dehghani Zahedani, A., Shariat Torbaghan, S., Rahili, S., Karlin, K., Scilley, D., Thakkar, R., Saberi, M., Hashemi, N., Perelman, D., Aghaeepour, N., et al. (2021) · Diabetes Therapy

Diabetes Management and ResearchDiabetes Treatment and Management

Cited by 62

Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?

Pammi, M., Shah, P. S., Yang, L. K., Hagan, J., Aghaeepour, N., & Neu, J. (2025) · The Lancet Digital Health

Pharmaceutical studies and practicesStatistical Methods in Clinical Trials

Cited by 60

Holistic evaluation of large language models for medical tasks with MedHELM

Bedi, S., Cui, H., Fuentes, M., Unell, A., Wornow, M., Banda, J. M., Kotecha, N., Keyes, T., Mai, Y., Oez, M., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 59

Impact of digital health interventions on glycemic control and weight management.

Veluvali, A., Dehghani Zahedani, A., Hosseinian, A., Aghaeepour, N., McLaughlin, T., Woodward, M., DiTullio, A., Hashemi, N., & Snyder, M. P. (2025) · npj Digital Medicine

Mobile Health and mHealth ApplicationsDiabetes Management and Research

Cited by 45

Stress and its consequences—biological strain

Stevenson, D. K., Gotlib, I. H., Buthmann, J. L., Marié, I., Aghaeepour, N., Gaudilliere, B., Angst, M. S., Darmstadt, G. L., Druzin, M. L., Wong, R. J., et al. (2024) · American Journal of Perinatology

Maternal Mental Health During Pregnancy and PostpartumStress Responses and Cortisol

Cited by 2