Ahmed Elmokadem, Ph.D.

Research Scientist I

Ahmed earned his PhD in Biomedical Sciences from the University of Connecticut. His thesis work revolved around building statistical models to solve problems with super-resolution imaging. Other fields of experience include systems biology and pharmacokinetics. More recently, he focused on developing physiologically-based pharmacokinetic (PBPK) models to get a better mechanistic understanding of drugs’ pharmacokinetics.

Recent publications by this scientist

Quantitative Systems Pharmacology and Physiologically Based Pharmacokinetic Modeling With mrgsolve: A Hands-On Tutorial

November 25, 2019

Elmokadem, A., Riggs, M. M. and Baron, K. T. (2019), Quantitative Systems Pharmacology and Physiologically‐Based Pharmacokinetic Modeling With mrgsolve: A Hands‐On Tutorial. CPT Pharmacometrics Syst. (2019) 8, 883–893.  Available from: https://doi.org/10.1002/psp4.12467

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Impact of Partition Coefficient Prediction Methods on PBPK Model Output Using a Unified Tissue Composition

November 19, 2019

Kiersten Utsey, Madeleine S Gastonguay, Sean Russell, Reed Freling, Matthew M Riggs, Ahmed Elmokadem

Poster presented at 2019 American Conference on Pharmacometrics (ACoP10) in Orlando, FL. 22 October 2019.

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