REVELATION BIOSCIENCES, INC.

Our business is subject to various risks, including those described below and in Item 1A of our Annual Report on Form 10-K for the year ended December 31, 2024.

Significant reductions in FDA staffing and changes in federal regulatory policy may delay or adversely affect the approval and commercialization of our product candidates.

Recent actions by the current administration, including substantial reductions in the workforce of the U.S. Food and Drug Administration (“FDA”), have created increased uncertainty regarding the timing and outcome of regulatory reviews for new drugs and biologics. These staffing cuts, which have affected key divisions responsible for the review of innovative therapies, may result in longer review times, missed milestones, and inconsistent or delayed feedback from the agency. In addition, the loss of experienced FDA personnel and potential further restructuring could lead to a loss of institutional knowledge and a reduced ability to resolve complex regulatory questions efficiently.

As a result, we may experience delays in the initiation, conduct, or completion of our clinical trials and in the review and approval of our marketing applications. These delays could adversely impact our ability to bring our product candidates to market, disrupt our development timelines, and increase our costs. Furthermore, ongoing regulatory uncertainty may negatively affect investor confidence and our ability to raise additional capital on favorable terms, particularly as small and mid-cap biopharmaceutical companies are more vulnerable to such disruptions.

If the FDA’s operational capacity continues to be reduced or if further policy changes are implemented that affect the agency’s review processes, our business, financial condition, and results of operations could be materially and adversely affected.

Artificial intelligence is playing an increasingly important role in biotechnology which may have an effect on us.

Artificial intelligence (“AI”) is increasingly playing a role in our industry, being used for target identification, drug discovery, preclinical modeling, and data analysis. While it is not a significant factor in our current operations, AI may play a future role in our operations based upon our evaluation of its usefulness to us, and there are material risks associated with its use.

AI technologies are inherently complex and evolving. They may not function as intended, produce accurate results, or provide actionable insights. The quality of AI outputs depends heavily on the quality and quantity of input data, which in the life sciences context may be limited, biased, incomplete, or subject to regulatory and privacy constraints. If we utilize AI in the future and our AI systems fail to identify viable therapeutic candidates, predict biological outcomes, or produce reproducible results, our product development efforts may be delayed or unsuccessful.

In addition, the use of AI in regulated environments such as biotechnology and pharmaceuticals may attract increasing scrutiny from regulatory authorities. Regulatory bodies have not yet established clear guidelines governing the validation, approval, or oversight of AI-generated insights or AI-supported decision-making. Any failure to comply with future regulatory expectations regarding AI could limit our ability to use such technologies or result in penalties or delays.

We also rely on third-party AI platforms, vendors, and cloud infrastructure. Any errors, outages, security breaches, or failures by such third parties may disrupt our operations or compromise proprietary data. Furthermore, as AI technologies become more widely adopted, we may face increased competition from other biotechnology companies leveraging similar tools.

If we are unable to successfully integrate and manage AI within our business, or if AI fails to deliver the expected benefits, our ability to discover and develop new therapies could be materially adversely affected.

a)

None.

b)

None.

c)

None.

Not applicable.

Not applicable.