Validations: Model Verification/Validation & Explainability
Model Versioning: Semantic vs Patch Changes Model Versioning: Semantic vs Patch Changes in Pharmaceutical AI/ML Validation In the rapidly evolving landscape of pharmaceutical analytics, the validation of AI/ML models has become increasingly vital. Model versioning, particularly the distinction between semantic and patch changes, forms a cornerstone of this validation process. This comprehensive guide outlines the step-by-step approach to understanding these…
Cross-Validation & Nested CV: Preventing Optimism Introduction to AI/ML Model Verification and Validation in GxP Analytics As the pharmaceutical industry increasingly adopts machine learning (ML) and artificial intelligence (AI) solutions in Good Automated Manufacturing Practice (GxP) environments, robust model verification and validation (V&V) processes become imperative. Regulatory bodies such as the US FDA, EMA, and MHRA outline specific expectations for…
Verification vs Validation for AI/ML: What Each Proves Verification vs Validation for AI/ML: What Each Proves Artificial Intelligence and Machine Learning (AI/ML) technologies are increasingly being integrated into various pharmaceutical and clinical solutions. Nevertheless, understanding the difference between verification and validation in the context of AI/ML model validation is crucial for maintaining compliance with regulatory requirements in the US, UK,…
Test Protocols for Models: Unit, Integration, and System In the ever-evolving landscape of pharmaceutical research and clinical operations, the advent of Artificial Intelligence (AI) and Machine Learning (ML) has introduced a paradigm shift in data analytics. Proper validation of AI/ML models that are employed under Good Automated Manufacturing Practice (GxP) guidelines is essential. This article serves as a step-by-step tutorial…
Performance Metrics: ROC, PR, Regression, and Calibration Performance Metrics: ROC, PR, Regression, and Calibration Introduction to Performance Metrics in AI/ML Model Validation The integration of artificial intelligence (AI) and machine learning (ML) within the pharmaceutical industry presents unique challenges, especially in terms of compliance with Good Automated Manufacturing Practice (GxP) standards. These technologies have the potential to revolutionize drug development…