3 Case Studies Oncology

Oncology Case Study Collection

Real-world examples of ArcaScience's AI-driven benefit-risk analysis applied to oncology development programs.

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Oncology Programs

Case Study 1 Metastatic Melanoma

PD-1 Checkpoint Inhibitor

Challenge

Complex irAE profile spanning dermatologic, hepatic, endocrine, and pulmonary organ systems with variable onset timing

ArcaScience Approach

Deployed multi-organ irAE detection models with temporal pattern analysis across 12,000+ patient records

Results

  • 73% faster irAE signal detection
  • 94% accuracy in causality assessment
  • PBRER generation time reduced from 14 weeks to 3 weeks
Case Study 2 HR+ Breast Cancer

CDK4/6 Inhibitor

Challenge

Quantifying benefit-risk balance of neutropenia management against PFS improvement in combination with endocrine therapy

ArcaScience Approach

Integrated clinical trial and real-world evidence across 8,400 patients to model dose modification impact on efficacy

Results

  • Identified optimal dose modification thresholds
  • 67% reduction in BRA compilation time
  • FDA submission accepted without information requests on BRA section
Case Study 3 Relapsed/Refractory B-ALL

Bispecific T-Cell Engager

Challenge

Cytokine release syndrome and neurological toxicity in a vulnerable patient population with limited treatment alternatives

ArcaScience Approach

Built CRS grading prediction model integrated with benefit assessment using minimal residual disease endpoints

Results

  • Real-time CRS risk stratification
  • 89% sensitivity in neurotoxicity signal detection
  • Supported accelerated approval submission

Results Across Oncology Programs

70%+

Reduction in BRA Preparation Time

90%+

Accuracy in AE Classification

3x

Faster Regulatory Submissions

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More Oncology Resources

PDF Whitepaper

Oncology BRA Methodology Guide

Slide Deck

Oncology Platform Overview Deck

Regulatory Guide

Oncology Regulatory Landscape

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