Amass Connector

**The biomedical intelligence layer for AI** Search and reason across 60M+ cross-linked life science records — including peer-reviewed publications, clinical trials, drugs, genes, regulatory approvals, and patents — from a single connector. Instead of searching individual databases, Amass gives Claude access to a unified biomedical knowledge layer where entities are linked across sources, enabling richer retrieval, evidence synthesis, and scientific reasoning with full source attribution. ## What you can do Use Amass to power workflows such as: - Scientific literature reviews - Drug and target discovery - Clinical trial landscape analysis - Regulatory intelligence (FDA & EMA) - Drug approval and label comparison - Patent landscape and freedom-to-operate research - Gene, target and biomarker exploration - Due diligence and competitive intelligence - AI agents that require grounded biomedical evidence ## Included *Cores **BioMedCore** 40M+ peer-reviewed publications from PubMed and PubMed Central, including 3.6M+ with full text and 29M+ with abstracts. **TrialCore** 1.2M+ clinical trials from ClinicalTrials.gov and international registries (ChiCTR, CTRI, EU-CTR, JPRN, IRCT, and more), linked to drugs, diseases, publications and regulatory outcomes. **DrugCore** 22K+ harmonized drugs and molecules — including 5,200+ approved — with modality, mechanism of action, targets, development stage, synonyms, structures and ChEMBL relationships. **RegulatoryCore** 7K+ FDA and EMA approvals, backed by 466K+ parsed document sections — labels, SmPCs, EPARs, review documents and regulatory history. **GeneCore** 42K+ human genes enriched with target intelligence, druggability, clinical evidence, tractability, DepMap essentiality, safety liabilities and cross-links to drugs, trials and publications. **PatentCore** *(Preview)* 16M+ life science patents with full-text search, CPC/IPC classifications, patent families, assignees, inventors and chemical compounds.