Resource Library

Tag: Life Sciences

Why meaning and context must stay together in health tech, shown through a sore throat-to-tonsillectomy example.
Insight Brief
AI and NLP
Understand how a healthcare knowledge graph preserves clinical meaning across the care journey for trustworthy downstream data.
Article
AI and NLP
How better clinical data, AI, and real-world evidence can accelerate rare disease diagnosis, improve trial design, and spark faster drug development.
Article
AI and NLP
AI-enabled SLRs accelerate evidence generation, cutting timelines and manual effort while maintaining accuracy, transparency, and regulatory rigor.
Case Study
AI and NLP
Learn how the IMO Health knowledge graph connects clinical concepts, terminology, and real-world data into a unified framework, creating a deterministic clinical…
Webinar
Clinical Terminology
Billions are spent on pharma marketing, yet treatment decisions happen elsewhere. Learn how real-time EHR precision improves targeting and ROI.
Article
Clinical Terminology
This session examines the structural components and best practices that separate exploratory AI use from regulator-ready evidence generation: terminology-powered article retrieval logic,…
Webinar
AI and NLP
In SLR, recall is often prioritized over precision, creating semantic noise that reduces reproducibility in clinical evidence generation workflows.
Article
Life Sciences
Get up to speed on all things SLR, including what it is, why it’s challenging, and how to integrate AI thoughtfully.
Article
Clinical Terminology
Get a closer look at how structured rare disease knowledge supports earlier diagnosis and stronger research.
Article
Clinical Documentation and Coding
Discover how an expert-curated clinical terminology layer dramatically improves PubMed precision, recall, and reproducibility.
White Paper
Clinical Terminology
Understand how embedding structured clinical terminology into your PubMed search strategy can improve precision, recall, and reproducibility.
Article
Clinical Terminology

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