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June 11, 2025

How the draft ICH M15 guidance is reshaping drug development across the globe

The pharmaceutical industry is moving rapidly toward a data-driven future—and Model-Informed Drug Development (MIDD) is at the forefront. With the release of the draft ICH M15 guidance, MIDD has become a global regulatory expectation. To help stakeholders understand the implications, Certara experts partnered with BioPharma Dive to explore how MIDD—and the new guidance—are transforming drug development and regulatory strategy.

MIDD combines tools like PBPK modeling, Quantitative Systems Pharmacology (QSP), Population PK, Exposure-Response analysis, MBMA, RWE, AI/ML to inform decisions across the development lifecycle—from discovery through submission. MIDD enables integrated data analyses, including clinical outcome simulation, to drive informed decisions around approvals and labeling

"It’s all about integrating relevant data to inform key decisions across the development lifecycle."
Rik de Greef, SVP, Quantitative Science Services

Why the ICH M15 Guidance Is a Turning Point

The M15 guidance consolidates years of modeling experience and regulatory review into a globally harmonized framework. Its goal is to standardize MIDD methodology and regulatory requirements, promote transparency, and accelerate innovation.

"The ICH MIDD guideline opens the door to earlier, more collaborative regulatory interactions and sets the stage for innovation in regulatory science."
Eva Gil Berglund, Sr. Director, Clinical Pharmacology and Regulatory Strategy

The document outlines a totality-of-evidence approach, calls for clarity in modeling context, and emphasizes transparent communication of assumptions, risks, and impact. It also introduces a structured framework to assess model credibility and regulatory influence.

The panel highlighted case studies showing how MIDD impacts regulatory decisions:

  • PBPK modeling replaced certain drug-drug interaction (DDI) studies, reducing clinical burden.
  • QSP modeling guided first-in-human and dose escalation strategies in oncology.
  • Exposure-response analyses supported label claims and late-stage dose modifications.

"We used QSP modeling not only to inform early decisions but to continually refine dosing strategies in line with regulatory guidance."

Krithika Shetty, Sr. Director, Clinical Pharmacology

These examples underscore MIDD’s ability to provide substantive and critical support in regulatory decisions in addition to the impact it has in drug development decision making

Preparing for the Future of MIDD

As expectations rise, early strategic planning is essential. Certara’s experts recommend five best practices:

  1. Start Early – Align on key questions and modeling plans well ahead of doing the actual modeling analyses’
  2. Pilot Programs – Test MIDD planning in line with the M15 framework on a focused project before scaling across the portfolio.
  3. Cross-Functional Collaboration – Integrate pharmacometrics, regulatory, clinical pharmacology and clinical expertise for a joint model-informed development strategy.
  4. Engage Regulators Early – Use modeling concepts and insights to foster proactive dialogue.
  5. Upskill and Invest – Equip teams with tools and training to lead with confidence.

"Impactful MIDD only happens when the entire development team embraces modeling as a core decision-making tool—not just a technical exercise."

Hannah Jones, SVP, PBPK Consultancy Services

Final Thoughts

The ICH M15 guidance is more than a regulatory milestone—it’s a strategic framework for the future. It calls on drug developers to treat MIDD not as a one-off solution, but as a foundational capability that accelerates approvals, reduces risk, and delivers better outcomes.

Erika Brooks

Marketing Director, Quantitative Science Services

With over 22 years of experience in hospitals, health systems, associations, life sciences, physician practices, and suppliers, Erika is an experienced marketing strategist and supports the Quantitative Science Services offering with Go-to market planning and execution.