CoreDF
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
- 2025-05 (month precision)Source: May-25
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Science
- Operational functions
- Clinical and medical Derived by keyword rules; see methodology
Problem the AI is intended to solve
Current nonclinical review processes require manual extraction and analysis of sponsor findings from lengthy PDF study reports, creating inefficiencies in data quality assessment and regulatory timeline.
Expected benefits
Expedites nonclinical review by extracting and organizing key safety findings from study reports, allowing FDA reviewers to focus on scientific evaluation and safety assessment rather than manual data extraction.
System outputs
Sponsor findings from non-clinical study reports
Technology
- AI classification
- Other
- System name(s)
- CoreDF
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- IBM
- Vendors (standardized)
- IBM
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
- non-clinical study reports (PDFs)
- 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