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In July, 2025, the US Food and Drug Administration (FDA) issued a warning letter to an investigator conducting a clinical trial for pediatric participants. The warning letter was the result of a routine inspection part of the FDA’s Bioresearch Monitoring Program (BIMO) as well as the investigator’s written response to the Form FDA 483.
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On August 27, 2025, the International Organization for Standardization (ISO) released a Draft International Standard (DIS) for the ISO 9001:2026 Quality Management Systems (QMS) to ISO member bodies for a twelve-week review and ballot period. The goal of ISO 9001 is to help organizations create and maintain consistency of their products or services and seeks to improve and refine their internal processes and procedures to increase efficiency.
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On March 25, 2025 the U.S. Food and Drug Administration (FDA) issued a warning letter to the sponsor-investigator of a study due to objectionable conditions observed during a Bioresearch Monitoring (BIMO) Program inspection. The sponsor-investigator’s written response to the FDA Form 483 were deemed inadequate therefore the FDA issued a warning letter stating that the sponsor-investigator was noncompliant with multiple regulations within 21 CFR part 312.
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On April 30th, 2025, the U.S. Food and Drug Administration (FDA) issued a warning letter and Form FDA 483 to the sponsor of a clinical investigation as the result of a Bioresearch Monitoring Program (BIMO) inspection. 40 participants were enrolled in the study and took the investigational product that the sponsor claims was to help individuals with sleeping disorders without submitting an Investigational New Drug (IND) application.
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On January 31st, 2025, the European Medicines Agency (EMA) reached another major milestone for the implementation of the Clinical Trials Regulation (CTR), the European Union’s (EU) current pharmaceutical legislation. The CTR has updated the many of the CTD policies; promoting communication between trials and regulators, increased transparency between trials and the public, and reducing financial and administrative burdens.
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You may be accustomed to using the Five Whys method for root cause analysis. You ask ‘Why’ five times in an effort to discover the root cause of an issue. If this is your go-to method, you may not realize that there is a different tool available or that Five Whys may be ineffective or outdated. After all, manufacturers of calculators at first had a difficult time convincing consumers of the value of a calculator when they were used to a slide rule. Could you imagine if everyone stuck to what they were comfortable with instead of trying something new?
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Topic for First Meeting: “Effective Root Cause Analysis”
When: Tuesday, March 10th, 2020
Time: 11 a.m. – 12 p.m. EDT
Register here. This launch meeting is open to MCC non-members. Future meetings will be for those from MCC member organizations only.
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The United States Government Accountability Office (GAO) released a report, “Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development.” It outlines six options for policymakers in response to challenges in the use of machine learning in drug development. But why would machine learning be useful in clinical research?
