12/23/2024
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On November 6th, 2024, the International Council of Harmonization (ICH) published the draft version of ICH E6(R3) Annex 2, a long awaited update to the good clinical practice (GCP) section of the ICH Harmonized Guidelines.
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The US Food and Drug Administration’s Center for Drug Evaluation and Research (CDER) and Center for Biologics Evaluation and Research (CBER) collaborated with the European Medicines Agency (EMA) to develop 10 Guiding Principles of Good AI Practice in Drug Development. They are intended to be a foundational basis for developing good practices with AI, addressing the unique nature of AI, as well as cultivating its future growth.
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In addition to the launch of Elsa, in a press announcement on December 1, 2025, the FDA broadcasted the deployment of Agentic AI capabilities for their employees. Agentic AI is unique from LLM AI due to its capability to plan, reason, and execute multi-step actions in order to achieve a specific goal. This means it can be used to assist with more complex tasks.
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On June 2, 2025, the U.S. Food and Drug Administration (FDA) announced the launch of their Artificial Intelligence (AI) Tool: Elsa. AI has been seen in many parts of the clinical research ecosystem in recent years such as trial and protocol design, participant recruitment, and safety monitoring, all of which have the potential to enhance trial efficiency and safety.
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On December 19th, 2025, the US Food and Drug Administration released the finalized guidance for industry: Processes and Practices Applicable to Bioresearch Monitoring Inspections. The guidance details the processes and practices of Bioresearch Monitoring Program (BIMO) inspections of FDA-regulated establishments NOT specified in existing FDA guides or manuals.
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On September 8th, 2025, the US Food and Drug Administration (FDA) released their final guidance for industry on the ICH E6(R3) Good Clinical Practice (GCP). ICH E6(R3) Principles and Annex 1 were finalized on January 6th, 2025, officially taking over the preceding 2016 ICH E6(R2). Annex 2 is expected to be finalized in early 2026.
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“Q&A with FDA” is the US Food and Drug Administration’s (FDA) podcast that began in 2022 which answers frequently asked questions by interviewing FDA staff members. The most recent episode was released on August 16th, 2024 titled “Real-World Data and Evidence Generation with Dr. Hilary Marston” hosted by Dr. Sara Roach interviewing Dr. Marston, the FDA’s Chief Medical Officer.
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On July 25, 2024 the US Food and Drug Agency (FDA) published a final guidance for industry “Real-World Data: Assessing Electronic Health Records and Medical Claims Data to Support Regulatory Decision-Making for Drug and Biological Products.” This guidance is intended to help sponsors and other interested parties determine whether or not to use electronic health records (EHR) or medical claims data (information submitted to insurers to receive payments for treatments and other interventions) when making regulatory decisions on the effectiveness or safety of a drug.
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The US Food and Drug Administration (FDA) released a draft guidance “Considerations for the Use of Real-World Data and Real-World Evidence To Support Regulatory Decision-Making for Drug and Biological Products” for public comment in December 2021. This draft guidance is published as part of a series of real-world evidence (RWE) guidance in line with the 21st Century Cures Act (Cures Act). Part of the Cures Act is related to the use of real-world evidence (RWE) to help support regulatory decision making, including the approval of a new indication for an approved drug or to support post approval study requirements. This draft guidance discusses its applicability in using RWE in clinical trials and observational studies.
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The US Food and Drug Administration (FDA) released a draft guidance “Assessing Registries to Support Regulatory Decision-Making for Drug and Biological Products” for public comment in November 2021. This draft guidance is published in line with the 21st Century Cures Act (Cures Act). A good source of RWE, a registry is an “organized system that collects clinical and other data in a standardized format for a population defined by a particular disease, condition, or exposure.”