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Food and Drug Administration, HHS.
Notice; establishment of a public docket; request for information and comments.
The Food and Drug Administration (FDA or Agency) is announcing publication of a discussion paper providing information for stakeholders and soliciting public comments on a specific area of emerging and advanced manufacturing technologies. The discussion paper presents areas for consideration and policy development identified by the Center for Drug Evaluation and Research (CDER) scientific and policy experts associated with application of artificial intelligence (AI) to pharmaceutical manufacturing. The discussion paper includes a series of questions to stimulate feedback from the public, including CDER and the Center for Biologics Evaluation and Research (CBER) stakeholders.
Submit either written or electronic comments and information by May 1, 2023.
You may submit comments as follows. Please note that late, untimely filed comments will not be considered. The https://www.regulations.gov electronic filing system will accept comments until 11:59 p.m. Eastern Time at the end of May 1, 2023. Comments received by mail/hand delivery/courier (for written/paper submissions) will be considered timely if they are received on or before that date.
Submit electronic comments in the following way:
Submit written/paper submissions as follows:
Instructions: All submissions received must include the Docket No. FDA-2023-N-0487 for “Discussion Paper: Artificial Intelligence in Drug Manufacturing, Notice; Request for Information and Comments.” Received comments, those filed in a timely manner (see ADDRESSES ), will be placed in the docket and, except for those submitted as “Confidential Submissions,” publicly viewable at https://www.regulations.gov or at the Dockets Management Staff between 9 a.m. and 4 p.m., Monday through Friday, 240-402-7500.
Docket: For access to the docket to read background documents or the electronic and written/paper comments received, go to https://www.regulations.gov and insert the docket number, found in brackets in the heading of this document, into the “Search” box and follow the prompts and/or go to the Dockets Management Staff, 5630 Fishers Lane, Rm. 1061, Rockville, MD 20852, 240-402-7500.
Elizabeth Giaquinto Friedman, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Ave., Bldg. 51, Rm. 4162, Silver Spring, MD 20993, 240-402-7930, Elizabeth.Giaquinto@fda.hhs.gov.
Advanced manufacturing is a term that describes an innovative pharmaceutical manufacturing technology or approach that has the potential to improve the reliability and robustness of the manufacturing process and resilience of the supply chain. Advanced manufacturing can: (1) integrate novel technological approaches, (2) use established techniques in an innovative way, or (3) apply production methods in a new domain where there are no defined best practices. Advanced manufacturing can be used for new or currently marketed large or small molecule drug products.
FDA has recognized and embraced the potential of advanced manufacturing. In 2014, CDER established the Emerging Technology Program (ETP) to work collaboratively with companies to support the use of advanced manufacturing. CDER observed a rapid emergence of advanced manufacturing technologies through the ETP and recognized that regulatory policies and programs may need to evolve to enable timely technological adoption.
The National Academies of Sciences, Engineering, and Medicine issued a 2021 report titled Innovation in Pharmaceutical Manufacturing on the Horizon: Technical Challenges, Regulatory Issues, and Recommendations, highlighting innovations in integrated pharmaceutical manufacturing processes. These innovations could have implications for measurement, modeling, and control technologies used in pharmaceutical manufacturing. AI may play a significant role in monitoring and controlling advanced manufacturing processes.
This discussion paper presents areas associated with the application of AI to pharmaceutical manufacturing that FDA has identified for consideration as FDA evaluates our existing risk-based regulatory framework. CDER scientific and policy experts identified these areas from a comprehensive analysis of existing regulatory requirements applicable to the approval of drugs manufactured using AI technologies. The areas of consideration in this discussion paper are those for which FDA would like public feedback.
There are additional areas of consideration not covered within this document, for example, difficulties that could result from ambiguity on how to apply existing regulations to AI or lack of Agency guidance or experience. The areas of consideration presented in this discussion paper focus on drug products that would be marketed under a new drug application (NDA), abbreviated new drug application (ANDA), or biologic license application (BLA). Public feedback will help inform CDER's evaluation of our existing regulatory framework.
While the initial analysis focused on products regulated by CDER, FDA's CBER has also encountered a rapid emergence of advanced manufacturing technologies associated with AI. As such, both CDER and CBER stakeholders are invited to provide feedback on the discussion questions.
Interested persons are invited to provide detailed comments to CDER and CBER on all aspects described in the discussion paper. To facilitate input, FDA has developed a series of questions based on the considerations articulated in the discussion paper. The questions are not meant to be exhaustive, and FDA is also interested in any other pertinent information stakeholders would like to share on this topic. In all cases, FDA encourages stakeholders to provide the specific rationale and basis for their comments, including any available supporting data and information.
Dated: February 24, 2023.
Lauren K. Roth,
Associate Commissioner for Policy.
[FR Doc. 2023-04206 Filed 2-28-23; 8:45 am]
BILLING CODE 4164-01-P
6 comments have been received at Regulations.gov.
Agencies review all submissions and may choose to redact, or withhold, certain submissions (or portions thereof). Submitted comments may not be available to be read until the agency has approved them.