Prashant Dogra

Assistant Professor of Research in Physiology and Biophysics

Weill Cornell Medical College

United States

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Prashant Dogra is an Assistant Professor of Research in Physiology and Biophysics at Weill Cornell Medical College, USA. His research interests include the delivery of nerve growth factors to the retina, mitochondrial metabolism in cancer treatment, and the impact of metabolic rate variation on glioblastoma multiforme. He employs advanced methodologies such as mechanistic modeling and deep learning to enhance therapeutic predictions and optimize treatment strategies in oncology.

Articles (18)

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2025

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2023

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2022

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2022

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2022

Collaborators (13)

Sixiang Shi

Assistant Professor

University of Utah

UNITED STATES

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Corrine Ying Xuan Chua

Houston Methodist Research Institute

UNITED STATES

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Ashana Puri

East Tennessee State University

UNITED STATES

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Eugene J. Koay

UNITED STATES

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Brendan Dyett

RMIT University

AUSTRALIA

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Sergio Caserta

Università degli Studi di Napoli Federico II

ITALY

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Mark D. Pagel

UNITED STATES

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Leslie Yeo

Professor of Chemical Engineering & Australian Research Council Future Fellow

RMIT University

AUSTRALIA

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Mohsen Akbari

Associate Professor

University of Victoria

CANADA

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Charlotte E. Conn

AUSTRALIA

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Shreya Goel

Assistant Professor

University of Utah

UNITED STATES

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Carly Filgueira

Houston Methodist

UNITED STATES

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Joseph Butner

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Prashant Dogra

Research Interests

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Articles (18)

Author Correction: Insights from a multiscale framework on metabolic rate variation driving glioblastoma multiforme growth and invasion

Image-Guided Targeting of Mitochondrial Metabolism Sensitizes Pediatric Malignant Rhabdoid Tumors to Low Dose Radiotherapy

Human nerve growth factor delivery to the retina: Quantitative methodology and mathematical modeling in preclinical settings

Iontophoresis-coupled rapidly dissolving polymeric microneedle patch of naloxone for its enhanced transdermal delivery

Insights from a multiscale framework on metabolic rate variation driving glioblastoma multiforme growth and invasion

Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy

Ceramide as an endothelial cell surface receptor and a lung-specific lipid vascular target for circulating ligands

A modeling-based approach to optimize COVID-19 vaccine dosing schedules for improved protection

Immune‐checkpoint inhibitor therapy response evaluation using oncophysics‐based mathematical models

Immune-checkpoint inhibitor therapy response evaluation using oncophysics-based mathematical models

Prospective Subunit Nanovaccine against Mycobacterium tuberculosis Infection-Cubosome Lipid Nanocarriers of Cord Factor, Trehalose 6,6 ' Dimycolate

Prospective Subunit Nanovaccine against Mycobacterium tuberculosis Infection─Cubosome Lipid Nanocarriers of Cord Factor, Trehalose 6,6' Dimycolate.

Exploring Cell Migration Mechanisms in Cancer: From Wound Healing Assays to Cellular Automata Models

Hybrid Cellular Automata Modeling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth

Mathematical modeling of cancer immunotherapy for personalized clinical translation

Localization of drug biodistribution in a 3D-bioengineered subcutaneous neovascularized microenvironment

Zonal Intratumoral Delivery of Nanoparticles Guided by Surface Functionalization

Deep learning-derived optimal aviation strategies to control pandemics

Collaborators (13)

Sixiang Shi

Corrine Ying Xuan Chua

Ashana Puri

Eugene J. Koay

Brendan Dyett

Sergio Caserta

Mark D. Pagel

Leslie Yeo

Mohsen Akbari

Charlotte E. Conn

Shreya Goel

Carly Filgueira

Joseph Butner

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