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NAMs Regulatory Case Studies

Real-world examples of successful NAMs regulatory submissions, qualifications, and acceptances across FDA, EMA, and global agencies.

Success FDA Organ-on-Chip

Liver-on-Chip DILI Prediction

Emulate Inc.

First organ-on-chip system data accepted in FDA IND submission for drug-induced liver injury prediction, reducing animal testing requirements.

Key Outcomes

  • Data accepted in IND without additional animal studies
  • 90%+ concordance with clinical hepatotoxicity
  • Established precedent for OoC in drug development
2023
Year
IND
Type
90%+
Concordance
Success EMA MPS

Skin Sensitization IATA Qualification

Multiple Sponsors (OECD)

EMA qualification opinion for defined approach combining multiple NAMs for skin sensitization assessment under OECD TG 497.

Key Outcomes

  • Formal EMA qualification opinion published
  • Valid across 27 EU member states
  • Replaces Draize test for skin sensitization
2024
Year
SAWP
Pathway
TG 497
OECD
Success FDA Computational

PBPK Model for Pediatric Dosing

Certara

Physiologically-based pharmacokinetic modeling accepted as primary evidence for pediatric dose selection, avoiding additional clinical trials.

Key Outcomes

  • Approved pediatric labeling based on PBPK
  • No additional pediatric PK studies required
  • Model-informed drug development precedent
2024
Year
NDA
Type
PBPK
Method
Success FDA Organoid

Patient-Derived Tumor Organoids

Foundation Medicine

Patient-derived tumor organoids used to support biomarker qualification and companion diagnostic development for oncology indication.

Key Outcomes

  • Biomarker strategy supported by organoid data
  • Precision medicine approach validated
  • Companion diagnostic pathway established
2025
Year
BLA
Type
CDx
Application
Success EMA In Vitro

HepaRG Hepatotoxicity Model

Biopredic International

HepaRG cell line qualified by EMA for DILI prediction, providing standardized in vitro hepatotoxicity assessment across industry.

Key Outcomes

  • EMA qualification opinion for DILI prediction
  • Standardized cell model across sponsors
  • Reduced reliance on primary hepatocytes
2022
Year
SAWP
Pathway
DILI
Endpoint
Success FDA AI/ML

AI-Powered Toxicity Prediction

Insilico Medicine

Machine learning model for cardiac toxicity prediction accepted in pre-IND meeting as supportive evidence for lead compound selection.

Key Outcomes

  • AI model output accepted in regulatory discussion
  • Reduced early-stage attrition risk
  • Established AI/ML in drug development
2025
Year
Pre-IND
Type
AI/ML
Method

"The FDA's acceptance of our organ-on-chip data represents a watershed moment for the industry. We've demonstrated that human-relevant NAMs can provide safety evidence that regulators trust, opening the door for broader adoption across drug development."

VP of Regulatory Affairs
Leading Pharmaceutical Company