Pharma R&D & Biotech · use case
Scientific Literature Evidence Extraction
Upload the publications, define the fields, and extract them with source links; ask questions across the set with citations.
The case
- The problem
- Medical Affairs needs comparable data from a growing set of publications in a therapeutic area.
- What DataStruct does
- Upload the publications, define the fields, and extract them with source links; ask questions across the set with citations.
- What the reviewer gets
- Source-linked literature evidence for Medical Affairs review.
Documents and questions
What goes in, and what you can ask
Typical documents
- Patents
- Scientific Publications
- Clinical Trials
- Regulatory Dossiers
- Drug Labels
- FDA CRLs
- SOPs
- Competitive Intelligence Reports
Example questions
- “What is the patent landscape for KRAS inhibitors?”
- “Compare efficacy data across competing compounds”
- “What FDA feedback has been received on this mechanism?”
- “Identify freedom-to-operate risks for our pipeline”
The boundary
A person makes the call
DataStruct locates and prepares the evidence, links it to its source and states what it could not confirm. A named reviewer confirms, rejects or marks each finding for follow-up, and that decision is attributed and logged.
More in pharma
- Patent Landscape AnalysisClaim and priority-date extraction across the patent set, with source links for counsel.
- Competitive Pipeline IntelligenceExtraction of pipeline data (compound, indication, phase, sponsor) from the documents you upload, each linked to source.
- Regulatory Dossier PreparationRule packs for required sections and source-linked extraction across modules, for reviewer checking.
Try scientific literature evidence extraction on your own documents
Book a demo and bring a sample of the documents this review runs on.