Mihail Popescu

Associate Professor

University of Missouri Columbia

United States

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Mihail Popescu is an Associate Professor at the University of Missouri Columbia, USA. His research primarily focuses on precision medicine, particularly in relation to the PI3K/AKT pathway, as well as integrating sensor data with electronic health records to predict health outcomes. He has also explored the application of large language models in cross-disciplinary fields and the effectiveness of mHealth applications in promoting health behavior change.

Articles (12)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2020

Collaborators (18)

RICCARDO SACCO

Associate Professor

Politecnico di Torino

ITALY

Mihail Popescu

Research Interests

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Articles (12)

Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility Study

Large Language Models and Prompt-Based Learning: Frontiers and Challenges in Cross-Disciplinary Applications

Agentic RAG-Driven Multi-Omics Analysis for PI3K/AKT Pathway Deregulation in Precision Medicine

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

pathCLIP: Detection of Genes and Gene Relations From Biological Pathway Figures Through Image-Text Contrastive Learning

Iterative Prompt Refinement for Mining Gene Relationships from ChatGPT

Examining the Use of Text Messages Among Multidisciplinary Care Teams to Reduce Avoidable Hospitalization of Nursing Home Residents with Dementia: Protocol for a Secondary Analysis

Impact of Web-Based Cognitive Behavioral Therapy for Insomnia on Stress, Health, Mood, Cognitive, Inflammatory, and Neurodegenerative Outcomes in Rural Dementia Caregivers: Protocol for the NiteCAPP CARES and NiteCAPP SHARES Randomized Controlled Trial

Smart Processing for Systems under Uncertainty or Perturbation

Social practices of nurse care coordination using sensor technologies – Challenges with an alert system adoption in assisted living communities for older adults

TLPCM: Transfer Learning Possibilistic $C$-Means

Corrections to “Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling” [Oct 19 2906-2917]

Collaborators (18)

RICCARDO SACCO

Gangqing Hu

Maureen E. Groer

Joel Shenker

Marcela Szopos

Ashley Curtis

David Beversdorf

Phyllis K Stein

Crystal Lim

Christina S. McCrae

David Mehr

Laurel Despins

Isa Jahnke

William Janes

Xing Song

Micheal Arowolo

Vovanti Jones

Kimberly R. Powell

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