Projects per year
Personal profile
Personal profile
Dr. Dogra is a computational medicine scientist specializing in mathematical modeling of complex diseases and pharmacological interventions. His expertise spans multiscale mechanistic modeling, quantitative systems pharmacology, pharmacometrics, and their integration in interdisciplinary basic and translational research for drug development and treatment optimization. He utilizes multimodal experimental and clinical data to leverage machine learning and develop predictive models to study disease dynamics, support drug development, address drug delivery challenges, and identify optimal treatment strategies for enhanced therapeutic efficacy and safety. His areas of interest are in cancer, infectious diseases, nanomedicine, and advanced drug delivery systems.
Education/Academic qualification
PhD, Mathematical Modeling of Nanoparticle Biodistribution, University of New Mexico
Award Date: May 7 2018
B Pharm, Panjab University
Award Date: Jul 1 2012
External positions
Adjunct Faculty, University of St. Thomas, Houston
Sep 2023 → …
Assistant Professor of Research in Physiology and Biophysics, Weill Cornell Medical College
Sep 1 2021 → …
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Collaborations and top research areas from the last five years
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Artificial intelligence-integrated mechanistic modeling for rational design of nanoparticles to improve organ targeting and safety
9/9/24 → 8/31/28
Project: Federal Funding Agencies
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Physiologically Based Pharmacokinetic Modeling of Silica Nanoparticles
9/6/22 → 6/30/24
Project: Federal Funding Agencies
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A Minimal PBPK Model Describes the Differential Disposition of Silica Nanoparticles In Vivo
Parrot, M., Cave, J., Pelaez, M. J., Ghandehari, H., Dogra, P. & Yellepeddi, V., Sep 19 2024, In: medRxiv.Research output: Contribution to journal › Article
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Deep learning-derived optimal aviation strategies to control pandemics
Rizvi, S., Awasthi, A., Peláez, M. J., Wang, Z., Cristini, V., Van Nguyen, H. & Dogra, P., Oct 2 2024, In: Scientific Reports. 14, 1, p. 22926Research output: Contribution to journal › Article › peer-review
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Gradient-induced instability in tumour spheroids unveils the impact of microenvironmental nutrient changes
Ascione, F., Ferraro, R., Dogra, P., Cristini, V., Guido, S. & Caserta, S., Sep 6 2024, In: Scientific Reports. 14, 1, p. 20837 20837.Research output: Contribution to journal › Article › peer-review
Open Access -
Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy
Butner, J. D., Dogra, P., Chung, C., Koay, E. J., Welsh, J. W., Hong, D. S., Cristini, V. & Wang, Z., Aug 14 2024, In: npj Systems Biology and Applications. 10, 1, p. 88 88.Research output: Contribution to journal › Article › peer-review
Open Access -
Iontophoresis-coupled rapidly dissolving polymeric microneedle patch of naloxone for its enhanced transdermal delivery
Tijani, A. O., Connors, D., Schiavone, C., Peláez, M. J., Dogra, P. & Puri, A., Jul 20 2024, In: International Journal of Pharmaceutics. 660, p. 124289 124289.Research output: Contribution to journal › Article › peer-review
Prizes
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A multiscale mathematical model to study nanomedicine delivery in solid tumors
Dogra, Prashant (Recipient) & Wang, Zhihui (Recipient), Nov 2019
Prize: Other distinction
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Identifying parameters to improve the pharmacokinetics and tumor delivery efficiency of nanomedicine
Dogra, Prashant (Recipient), Nov 2020
Prize: Other distinction
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NIH Competitiveness Award Initiative
Dogra, Prashant (Recipient), Nov 30 2023
Prize: Prize (including medals and awards)