krinaj@gmail.com

Translational PBPK-QSP Platforms for Tuberculosis Drug Development

Animal models have long served as the preclinical gatekeeper for tuberculosis drug development, yet they systematically fail to predict human pharmacokinetics, efficacy, and toxicity - a translation gap that has left TB drug discovery inefficient, costly, and ethically burdensome. Quantitative systems pharmacology (QSP) modeling frameworks enable researchers to evaluate host-directed therapies (HDTs) against Mycobacterium tuberculosis by mechanistically […]

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Weight of Evidence Approach for Waiving Long Term Toxicity Studies for Monoclonal Antibodies

A paper by FDA authors [Hao et al., 2026] systematically evaluated the contribution of chronic 6-month non-human primates (NHP) toxicity studies to human safety assessment for monoclonal antibodies (mAbs). Three key points stand out: • Long-term NHP toxicity studies rarely altered regulatory conclusions regarding human risk. • Long-term studies generally did not identify unexpected off-target

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Physiologically-Based Pharmacokinetic (PBPK) Models

PBPK is a computational approach that predicts how a drug moves through the body - how it is absorbed, distributed, metabolized, and eliminated. Unlike traditional methods that rely heavily on animal studies, PBPK models can use lab-based (in vitro) and physicochemical property data to simulate drug behavior in humans before any in vivo testing. This makes PBPK

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A Priori NAM Workflows

In “a priori NAM workflow”, we propose the use of non-animal methods at the very start of preclinical development to generate human-relevant insights before any in vivo studies. By predicting drug behavior upfront, this approach helps reduce the number and scope of animal experiments needed later. Mechanistic modeling - PBPK and QSP - enables simulation

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