Prashant Dogra

Prashant Dogra, PhD

Assistant Research Professor of Mathematics in Medicine, Academic Institute
Assistant Research Member, Research Institute
Houston Methodist
Weill Cornell Medical College


Linkedin


pdogra@houstonmethodist.org
Biography

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 & Training

PhD, University of New Mexico
B Pharm, Panjab University
Publications

Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer
Dogra, P, Shinglot, V, Ruiz-Ramírez, J, Cave, J, Butner, JD, Schiavone, C, Duda, DG, Kaseb, AO, Chung, C, Koay, EJ, Cristini, V, Ozpolat, B, Calin, GA & Wang, Z 2024, , Molecular Cancer, vol. 23, no. 1, 156. https://doi.org/10.1186/s12943-024-02060-5

Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy
Butner, JD, Dogra, P, Chung, C, Koay, EJ, Welsh, JW, Hong, DS, Cristini, V & Wang, Z 2024, , npj Systems Biology and Applications, vol. 10, no. 1, 88, pp. 88. https://doi.org/10.1038/s41540-024-00415-8

Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer
Dogra, P, Shinglot, V, Ruiz-Ramírez, J, Cave, J, Butner, JD, Schiavone, C, Duda, DG, Kaseb, AO, Chung, C, Koay, EJ, Cristini, V, Ozpolat, B, Calin, GA & Wang, Z 2024, , Molecular Cancer, vol. 23, no. 1, pp. 156. https://doi.org/10.1186/s12943-024-02060-5

Iontophoresis-coupled rapidly dissolving polymeric microneedle patch of naloxone for its enhanced transdermal delivery
Tijani, AO, Connors, D, Schiavone, C, Peláez, MJ, Dogra, P & Puri, A 2024, , International Journal of Pharmaceutics, vol. 660, 124289. https://doi.org/10.1016/j.ijpharm.2024.124289

Iontophoresis-coupled rapidly dissolving polymeric microneedle patch of naloxone for its enhanced transdermal delivery
Tijani, AO, Connors, D, Schiavone, C, Peláez, MJ, Dogra, P & Puri, A 2024, , International Journal of Pharmaceutics, vol. 660, 124289, pp. 124289. https://doi.org/10.1016/j.ijpharm.2024.124289

Hybridizing mechanistic mathematical modeling with deep learning methods to predict individual cancer patient survival after immune checkpoint inhibitor therapy
Butner, J, Dogra, P, Chung, C, Koay, E, Welsh, J, Hong, D, Cristini, V & Wang, Z 2024, , Research square. https://doi.org/10.21203/rs.3.rs-4151883/v1

Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer
Dogra, P, Shinglot, V, Ruiz-Ramírez, J, Cave, J, Butner, JD, Schiavone, C, Duda, DG, Kaseb, AO, Chung, C, Koay, EJ, Cristini, V, Ozpolat, B, Calin, GA & Wang, Z 2024, , medRxiv. https://doi.org/10.1101/2024.03.14.24304306

Hybrid Cellular Automata Modeling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth
Messina, L, Ferraro, R, Peláez, MJ, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2023, , Cancers, vol. 15, no. 23, 5660. https://doi.org/10.3390/cancers15235660

Hybrid Cellular Automata Modeling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth
Messina, L, Ferraro, R, Peláez, MJ, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2023, , Cancers, vol. 15, no. 23, 5660. https://doi.org/10.3390/cancers15235660

Using mechanistic model of the vaccine-induced immune response to identify optimal administration strategies.
Schiavone , C, Caserta, S & Dogra, P 2023, , Research Day, University of Naples, Naples Italy, Naples, Italy, 11/24/23 - 11/24/23.

Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
Migliaccio, G, Ferraro, R, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2023, , Cancers, vol. 15, no. 21, 5284. https://doi.org/10.3390/cancers15215284, https://doi.org/10.3390/cancers15215284

Machine learning-based rational design of nanoparticles for improved safety in biomedical applications.
Cave, J, Wang, Z, Cristini, V & Dogra, P 2023, , Physiology, Biophysics and Systems Biology Annual Retreat, Weill Cornell Graduate School of Medicine, New York, United States, 11/2/23 - 11/2/23.

Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models
Migliaccio, G, Ferraro, R, Wang, Z, Cristini, V, Dogra, P & Caserta, S 2023, , Cancers, vol. 15, no. 21, 5284. https://doi.org/10.3390/cancers15215284

Multiscale Modeling-Identified Synergistic Combinations of Anti-microRNA-155 and Standard-of-Care Drugs for Improved Outcomes in Non-small Cell Lung Cancer
Dogra, P, Cave, J, Butner, J, Cristini, V & Wang, Z 2023, , American Association of Pharmaceutical Scientists PharmSci 360 Conference 2023, Orlando, United States, 10/22/23 - 10/25/23.

Ceramide as an endothelial cell surface receptor and a lung-specific lipid vascular target for circulating ligands
Staquicini, DI, Cardó-Vila, M, Rotolo, JA, Staquicini, FI, Tang, FHF, Smith, TL, Ganju, A, Schiavone, C, Dogra, P, Wang, Z, Cristini, V, Giordano, RJ, Ozawa, MG, Driessen, WHP, Proneth, B, Souza, GR, Brinker, LM, Noureddine, A, Snider, AJ, Canals, D, Gelovani, JG, Petrache, I, Tuder, RM, Obeid, LM, Hannun, YA, Kolesnick, RN, Brinker, CJ, Pasqualini, R & Arap, W 2023, , Proceedings of the National Academy of Sciences of the United States of America, vol. 120, no. 34, e2220269120, pp. e2220269120. https://doi.org/10.1073/pnas.2220269120

Machine Learning-Based Feature Selection to Identify the Determinants of Tumor Delivery Efficiency of Nanoparticles.
Banerjee, D, Cave, J, Cristini, V, Wang, Z & Dogra, P 2023, , 2023 6th Annual MAPTA Summer Science Symposium, Houston Methodist Research Institute, Houston, 8/3/23 - 8/4/23.

Predicting Nanoparticle Toxicity Through Machine Learning Models.
Christiono, A, Cave, J, Cristini, V, Wang, Z & Dogra, P 2023, , 2023 6th Annual MAPTA Summer Science Symposium, Houston Methodist Research Institute, Houston, 8/3/23 - 8/4/23.

Mechanistic modeling of anti-microRNA-155 therapy combinations in lung cancer
Cave, J, Shinglot, V, Butner, JD, Cristini, V, Ozpolat, B, Calin, GA, Dogra, P & Wang, Z 2023, , Paper presented at 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, 7/24/23 - 7/27/23.

Mechanistic modeling for optimal design of dissolvable microneedle-based patches for transdermal drug delivery
Peláez, MJ, Ramírez, JR, Shen, Y, Birur, R, Schiavone , C, Cristini, V, Puri, A, Wang, Z & Dogra, P 2023, , Paper presented at 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, 7/24/23 - 7/27/23.

Multiscale Mechanistic Modeling of Nanoparticle-Delivered Anti-microRNA-155 Therapy and Its Combination With Standard-of-Care Drugs in Lung Cancer
Dogra, P, Shinglot, V, Cave, J, Cristini, V & Wang, Z 2023, , 17th U. S. National Congress on Computational Mechanics, Albuquerque, United States, 7/23/23 - 7/27/23.

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