AI for Bioanalytical Study Risk Assessment and Inspection Readiness
Department of Health and Human Services · HHS/FDA/CDER
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2025-06 (month precision)Source: Jun-25
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Health and Medical
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Challenges in assessing large amounts of analytical/bioanalytical study information for risk assessment and inspection preparation in a short period of time
Expected benefits
Efficient and thorough review of bioanalytical portions of pivotal studies, enabling risk assessors and reviewers to identify and address potential issues. This benefit promotes public health by ensuring the welfare of study subjects, and helping the office verify the quality, study integrity, and regulatory compliance of Bioavailability/Bioequivalence (BA/BE) studies supporting CDER-regulated drugs.
System outputs
Summary including reanalysis, deviations from method SOPs or protocols, inconsistencies or gaps in data reporting, deviations from data acceptance criteria, and deviations from the method validation; description of potential impact on study outcome. Outputs are verified by FDA staff.
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- Elsa
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- k) None of the above
- Training and evaluation data
- No FDA data were used to train, fine-tune or evaluate
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported