Clinical Research
Structuring Clinical Trial Data for Cross-Study Knowledge Reuse
Clinical trial data is among the most valuable — and most underutilised — knowledge assets in pharmaceutical development. Most of the value stays trapped in individual study datasets because the data was not structured for reuse across studies. Ontology-aligned data standards change this from the start.
Clinical Research
Protocol Deviation Surveillance Using Semantic Pattern Matching
Protocol deviations that go undetected until database lock cost far more to remediate than those caught during the study. Semantic pattern matching — combining structured ontological queries with NLP over narrative deviation descriptions — enables earlier and more systematic deviation surveillance across large studies.
Clinical Research
Ontology-Linked Adverse Event Data for Faster Safety Reviews
Adverse event review is the most time-critical activity in clinical safety monitoring. When adverse event records are linked to ontological concept identifiers — not just coded to MedDRA — safety reviewers can perform semantic queries that would otherwise require hours of manual case series review.
Clinical Research
Evidence Synthesis at Scale: Systematic Reviews via Knowledge Graphs
Systematic reviews are the gold standard for evidence synthesis in clinical research, but their execution is labour-intensive and slow. Knowledge graph-assisted systematic reviews maintain the scientific rigour of the methodology while automating the most time-consuming mechanical steps.
Clinical Research
Connecting Biomarkers, Endpoints, and Indications Through Semantic Layers
The relationship between a biomarker, the clinical endpoint it is proposed to predict, and the indication in which it has been validated is one of the most complex knowledge structures in clinical development. A semantic layer that formally represents these relationships transforms programme strategy, trial design, and regulatory engagement.
Clinical Research
The Future of Real-World Evidence in Knowledge-Centric Pharma
Real-world evidence has moved from a post-marketing afterthought to a core component of regulatory and commercial decision-making. The organisations positioned to extract maximum value from RWE are those that have built the semantic infrastructure to link observational data to their clinical trial knowledge base.