This research introduces an end-to-end generative system for automatically extracting and validating scientific claims in biomedical literature.

• Addresses critical gaps in existing claim validation solutions
• Combines claim extraction, evidence retrieval, and verification in a unified pipeline
• Leverages deep domain expertise for pharmaceutical and biomedical research
• Uses generative AI to streamline scientific fact-checking processes

Why it matters: In the pharmaceutical industry, where scientific progress accelerates rapidly, this system helps ensure research accuracy, potentially speeding up drug discovery while reducing resources spent on validating claims manually.

SciClaims: An End-to-End Generative System for Biomedical Claim Analysis