Call for Papers — Second Issue
2026-02-14
Volume 2, Issue 1 — March 2027
AI & Machine Learning on Real-World Data: Validation Frameworks for Regulatory Acceptance Regulators demand more than algorithmic performance—they require demonstrable validity, bias mitigation, and clinical utility. FDA's AI/ML action plan and EMA's regulatory science strategy are raising the bar for real-world evidence generated by machine learning. This issue bridges innovation and credibility. We invite validation studies of AI-driven phenotyping, bias detection frameworks, explainable AI case studies accepted in regulatory submissions, and governance protocols for model lifecycle management. Why publish here?
✓ Reach digital health investors conducting Series C due diligence in 2027
✓ Position your methodology as a benchmark for regulatory-grade ML
✓ Attract partnership inquiries from pharma evidence teams evaluating AI vendors Submission deadline: November 15, 2026
Article Processing Charge: €1,650 (early-bird €1,350 until September 30, 2026)
AI & Machine Learning on Real-World Data: Validation Frameworks for Regulatory Acceptance Regulators demand more than algorithmic performance—they require demonstrable validity, bias mitigation, and clinical utility. FDA's AI/ML action plan and EMA's regulatory science strategy are raising the bar for real-world evidence generated by machine learning. This issue bridges innovation and credibility. We invite validation studies of AI-driven phenotyping, bias detection frameworks, explainable AI case studies accepted in regulatory submissions, and governance protocols for model lifecycle management. Why publish here?
✓ Reach digital health investors conducting Series C due diligence in 2027
✓ Position your methodology as a benchmark for regulatory-grade ML
✓ Attract partnership inquiries from pharma evidence teams evaluating AI vendors Submission deadline: November 15, 2026
Article Processing Charge: €1,650 (early-bird €1,350 until September 30, 2026)
