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Conference: ICoP 2026 India

Date: January 28 - 31, 2026

Location: Fortune Valley View, Manipal

The International Conference on Pharmacometrics (ICoP India 2026) is a global event organized by the Society of Pharmacometrics and Health Analytics that focuses on advancing quantitative approaches in drug development, including model-informed drug development (MIDD) and health analytics. It brings together researchers, clinicians, regulators, and industry leaders to share cutting-edge science, foster collaboration, and increase India’s engagement in the evolving field of pharmacometrics. The conference includes pre- and post-conference workshops, plenary sessions, and opportunities to present original research aligned with the conference theme.

Where to hear Certara insights and expertise

January 29, 2026, 13:50 – 14:10 IST
Session: Quantitative Science in Generic Drug Development (Small Molecules)
Optimising and Enhancing Drug Development Using Simcyp PBPK Simulator

Presenters: Maitri Sanghavi, Research Scientist

Co-chair: Suraj Bhansali, Vice President

This session will explore how population-based mechanistic PBPK models implemented within the Simcyp Simulator can significantly improve drug development and regulatory interactions. Drawing on real-world case studies and practical project experiences, the talk will highlight how physiologically based biopharmaceutic and pharmacokinetic modelling can de-risk development, optimize formulation strategy, guide clinical study design, and support regulatory interactions.
Attendees will gain a good understanding of how mechanistic modelling can be integrated into development workflows to enhance efficiency, reduce costs, and support more predictable outcomes in both generic and innovative drug programs.

Poster: A Modular QSP Framework Enabling Clinical Translation of AAV Gene Therapies

Presenter: Harshbir Sandhu, Senior Scientist

The poster will be on display throughout the duration of the conference. Harshbir will be available on January 29 and 30 from 12:15 PM to 1:45 PM to present his abstract and answer any questions.

Gene therapies are advancing rapidly, yet quantitative frameworks for dose translation have lagged behind. In this work, focused on AAV-based gene therapy, we present a modular mechanistic modeling framework that captures the full journey from AAV biodistribution and viral transduction through transgene expression and protein biodistribution, enabling process-specific interspecies scaling. By explicitly identifying where traditional allometric approaches break down and applying tailored scaling strategies, the framework reduces uncertainty in human dose–response prediction and helps prioritize key translational experiments. The platform is agnostic to vector, transgene, tissue, and indication, and has already been used to support first-in-human dose justification for IND submissions.