Validations: Intended Use, Data Readiness & Bias

Training/Validation/Test Splits: Leakage and Contamination Controls The incorporation of Artificial Intelligence (AI) and Machine Learning (ML) into the pharmaceutical industry has accelerated advancements in drug discovery, clinical trials, and numerous other applications. However, ensuring the reliability and compliance of these models is crucial. In this comprehensive guide, we will explore key aspects of AI/ML model validation, focusing specifically on the…

Label Quality & Gold Standards: Inter-Rater Reliability Label Quality & Gold Standards: Inter-Rater Reliability In the burgeoning field of pharmaceutical analytics, AI and machine learning (AI/ML) are becoming vital for enhancing data integrity and regulatory compliance. This article aims to provide a comprehensive step-by-step guide on the essential aspects of AI/ML model validation, focusing specifically on elements such as intended…