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FDA BIMO Inspection Results in Warning Letter

02/19/2025

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On October 10, 2024, the US Food and Drug Administration (FDA) issued a Warning Letter to a clinical investigator due to objectionable conditions observed during a Bioresearch Monitoring (BIMO) Program inspection in 2023. The warning letter addresses multiple violations to Title 21 of the Code of Federal Regulations (CFR).

FDA BIMO Inspection Results in Warning Letter
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The Fourth Edition of ISO 14155 Coming Soon

02/04/2025

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The International Standard ISO 14155 “Clinical Investigation of Medical Devices for Human Subjects – Good Clinical Practice” outlines what is considered good clinical practice for the design, conduct, recording, and reporting of clinical investigations of medical devices in human participants. As we enter 2025, a Draft International Standard (DIS) of ISO 14155 is in the final stages of the approval process and is expected to be released within the coming months to replace the existing ISO

The Fourth Edition of ISO 14155 Coming Soon
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New GCP Book Coauthored by Clinical Pathways ...

01/29/2025

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In November 2024, the CRC press published the first edition of “Good Clinical Practices in Pharmaceuticals” edited by Graham P. Bunn (President of GB Consulting, LLC) and authored by multiple clinical trial professionals, including Clinical Pathways’ own Jennifer Lawyer and Sandra “Sam” Sather. The book is a compendium of information regarding the Good Clinical Practice (GCP) guidelines including the standards, methodologies, laws, and regulations.

New GCP Book Coauthored by Clinical Pathways Now Available
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New Draft Guidance on Protocol Deviation ...

01/21/2025

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The guidance breaks down the roles and responsibilities of the investigator, sponsor, and Institutional Review Board (IRB) in regards to monitoring, mitigating, reporting, and evaluating protocol deviations (PDs). The investigator, who is responsible for the conduct of the trial and protection of the rights, safety, and welfare of the participants must report all PDs to the sponsor, highlighting the important PDs.

New Draft Guidance on Protocol Deviation Management Part 2/2
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ICH E6(R3) Progresses into Step Four

01/15/2025

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On January 6, 2025, the International Council of Harmonisation’s ICH E6(R3) for Good Clinical Practices (GCP) reached step four of the formal ICH procedure. This means that the ICH E6(R3) draft guidelines, since its release in May of 2023, were submitted to and approved by the ICH Regulatory Members of the ICH Assembly for adoption as an ICH Harmonised Guideline replacing E6(R2).

ICH E6(R3) Progresses into Step Four

drug development

Upcoming Public FDA Workshop on AI in Drug and Biological Product Development

Upcoming Public FDA Workshop on AI in Drug and Biological Product Development

07/23/2024

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The US Food and Drug Administration (FDA) in collaboration with the Clinical Trials Transformation Initiative (CTTI) announced an upcoming hybrid public workshop titled “Artificial Intelligence (AI) in Drug & Biological Product Development” on August 6th, 2024 at 10:00am-5:30pm EST. AI refers the area of computer science that creates intelligent machines intended to mirror human cognitive functions such as learning, recognizing patterns and relationships within datasets, adapting, and problem solving. AI is already being put to use in the field of clinical research.

ICH Q9(R1) Quality Risk Management Guidance Adopted

01/24/2023

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The ICH Q9(R1) international guideline on Quality Risk Management reached step 4 on January 18, 2023. Step 4 is when the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) Regulatory Members of the ICH Assembly have adopted the guideline as a harmonized guideline.

How Can Artificial Intelligence Help Clinical Research?

2/05/2020

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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?