Mihail Popescu, PhD

Profile

Mihalil Popescu, PhD, researches artificial intelligence including convolutional neural networks (CNNs) and large language models (LLMs) as well as biomedical intelligent monitoring systems and eldercare technologies. His current research focuses on developing decision support systems for eldercare and chronic disease management. Chronic diseases such as diabetes, heart failure or depression decrease the quality of life and increase the risk of re-hospitalization. Dr. Popescu is currently investigating new technologies for eldercare such as new sensors (radar, infrared and depth cameras), new monitoring technologies and new artificial intelligence algorithms for early illness recognition and aging in place. Dr. Popescu is developing knowledge extraction and representation methodologies using large language models to address information explosion and personalized medicine.

Medical Intelligent Systems Laboratory (MISL)

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Academic Information

Professor

Office

810 Rollins Street
113B Math Sciences Bldg.
Columbia, MO 65203
United States

P. 573-882-1266

E. popescum@health.missouri.edu

Research Interests

Medical Natural Language Processing (LLMs)
Eldercare technologies
Health Monitoring Sensors (Infrared, radar, BCG, depth)

Areas of Expertise

Artificial Intelligence (LLM, CNN)
Machine learning
Image processing
Intelligent Systems
Agent based modeling

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Education & Training

Fellowship

2003 - 2006 National Library of Medicine

Post-Graduate School

2003 PhD, University Of Missouri

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Publications

Shaffer, V. A., Wegier, P., Valentine, K. D., Duan, S., Canfield, S. M., Belden, J. L., Steege, L. M., Popescu, M., & Koopman, “The Impact of an Enhanced Data Visualization Tool for Hypertension in the Electronic Health Record on Physician Judgments About Hypertension Control”. J Gen Intern Med. DOI: 10.1007/s11606-025-09381-1, 2025.
Farmer M, Popescu M, Powell KR. Development and evaluation of a 4M taxonomy from nursing home staff text messages using a fine-tuned generative language model. Journal of American Medical Informatics Association, doi: 10.1093/jamia/ocaf006, 2025
R Yi, M Popescu, JM Keller, G Scott, L Despins, Heartbeat Detection from Ballistocardiogram using Transformer Network, arXiv preprint arXiv:2412.14376, 2024.
A Woods, M Farmer, M Popescu, K Powell, Pain assessment and management in nursing home residents with ADRD: insights from interdisciplinary text messages, Innovation in Aging, vol. 8, Suppl1, pp 1263, 2024.
KK Hasan, OA Ibrahim, C Bucholtz, M Skubic, JM Keller, M Popescu, Sleep Quality Index for Sensor Data in Eldercare Monitoring. Instrumentation, Mesures, Métrologies 23 (6), 2024.
Powell, KR, Isnainy, M, Amewudah, P, Paez-Perez, D, Lee, S, Mehr, DR, Alexander, GL, M Popescu, “Untangling the complex web of avoidable nursing home-to-hospital transfers of residents with dementia”. Alzheimer's & Dementia. DOI: 10.1002/alz.14292, 2024.
A Braddock, P Ghosh, M Popescu, R Koopman, “Effectiveness of an mHealth App that Uses Financial Incentives and Gamification to Promote Health Behavior Change in Adolescents and Caregivers: Protocol for a Clinic-Based Randomized Controlled Trial”, JMIR, 2024.
Azam M, Chen Y, Arowolo MO, Liu H, M Popescu, Xu D. A comprehensive evaluation of large language models in mining gene relations and pathway knowledge. Quantitative Biology. 2024; 1–15. https://doi.org/10.1002/qub2.57
F He, K Liu, Z Yang, Y Chen, RD Hammer, D Xu, M Popescu, “pathCLIP: Detection of Genes and Gene Relations from Biological Pathway Figures through Image-Text Contrastive Learning”, IEEE J Biomed Health Inform. 2024 Apr 3:PP. doi: 10.1109/JBHI.2024.3383610.
Y Chen, J Gao, M Petruc, RD. Hammer, M Popescu, Dong Xu,
Iterative Prompt Refinement for Mining Gene Relationships from ChatGPT, bioRxiv 2023.12.23.573201; doi: https://doi.org/10.1101/2023.12.23.573201, 2024.
M Azam, Y Chen, M Arowolo, H Liu, M Popescu, D Xu, A Comprehensive Evaluation of Large Language Models in Mining Gene Interactions and Pathway Knowledge, bioRxiv, 2024.01. 21.576542.
Y Chen, J Gao, M Petruc, R Hammer, M Popescu, D Xu, Iterative Prompt Refinement for Mining Gene Relationships from ChatGPT, bioRxiv, 2023.12. 23.573201
M Zaid, L Sala, L Despins, D Heise, M Popescu, M Skubic, S Ahmad Cardiovascular sex-differences: insights via physiology-based modeling and potential for noninvasive sensing via ballistocardiography, Frontiers in Cardiovascular Medicine 10, 2023
F He, K Liu, Z Yang, M Hannink, RD Hammer, M Popescu, D Xu, “Applications of cutting-edge artificial intelligence technologies in biomedical literature and document mining”, Medical Review 3 (3), 200-204, 2023.
MO Arowolo, M Azam, F He, M Popescu, D Xu, Annotations of Gene Pathways Images in Biomedical Publications Using Siamese Network, International Journal of Biotechnology and Bioengineering 17 (10), 221-225, 2023.
M Zaid, R Invernizzi, L Sala, L Despins, M Popescu, J Keller, M Skubic, “Analysis of the Contribution of Cardiovascular Compartments to the Ballistocardiogram Signal Using Mathematical Modeling”, 2023 Computing in Cardiology (CinC) 50, 1-4
M. Zaid, M. Popescu, L. Despins, James Keller, M. Skubic, G. Guidoboni, “Noninvasive Cuffless Blood Pressure Monitoring. How Mechanism-Driven and Data-Driven Models Can Help in Clinical Practice”, J. Cardiology and Cardiovascular Med., 2023, https://doi.org/10.29328/journal.jccm.1001157
K.R. Powell, M. Popescu, S. Lee, D. Mehr, G.L. Alexander, "Examining the use of text messages among multidisciplinary care teams to reduce avoidable hospitalization of nursing home residents with dementia: Study Protocol", JMIR, http://doi.org/10.2196/preprints.50231, 2023.
Lee S, Popescu M, Osaba E. Smart Processing for Systems under Uncertainty or Perturbation. Electronics. 2022; 11(5):680. https://doi.org/10.3390/electronics11050680
M Azam, MO Arowolo, F He, M Popescu, D Xu, Recognition of Gene Names from Gene Pathway Figures Using Siamese Network, International Journal of Bioengineering and Life Sciences 17 (5), 23-30, 2023.