Translational and Clinical Pharmacology
Prasad Lab

Improving Pediatric Drug Safety and Efficacy Through Innovative Modeling and Multi-Omics Research

The Prasad Lab is committed to enhancing therapeutic outcomes for specific populations, with a particular emphasis on pediatric populations. We focus on advancing the safety and effectiveness of medications for children through innovative, predictive, and minimally invasive research methods.

By developing next-generation tools and models, we aim to better understand and address the variability in drug responses among vulnerable populations often left out of traditional clinical trials due to ethical or practical limitations. Utilizing multi-omics technologies and advanced computational modeling, our team is unraveling the intricate biological systems that influence drug disposition, efficacy, and safety.

An image describing research.

Research Focus

We employ a multi-omics systems pharmacology framework, integrating genomics, proteomics, metabolomics, and exposomics—to investigate the biological and molecular determinants of drug response. These comprehensive datasets are used to construct physiologically-based pharmacokinetic (PBPK) and quantitative systems pharmacology (QSP) models that more accurately predict drug behavior, particularly in pediatric settings.

Key goals include:

  • Identifying biomarkers for drug pharmacokinetics, toxicity, and efficacy
  • Understanding inter-individual and developmental variability in drug disposition and response
  • Creating translational tools to support precision medicine for children and other underrepresented populations

About the PI

Bhagwat Prasad

Bhagwat Prasad, MS (Pharm), PhD

My research is centered on improving drug safety and therapeutic outcomes in children, a population that is especially vulnerable to adverse drug effects and often excluded from traditional clinical trials. With deep expertise in pharmacokinetics, drug metabolism, and multi-omics integration, I have devoted my career to developing non-invasive, precision-based tools that predict variability in drug disposition and response across pediatric age groups. My goal is to bridge systems-level science with clinically meaningful applications to help shape the future of pediatric pharmacology and translational medicine. 

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