Healthcare data, decoded.
Expert analysis on AI, real-world evidence, drug intelligence and healthcare data, written by the researchers, engineers and physicians who build Tekkare.
Augmented science as a traceable evidence layer for in silico disease modelling
Healthcare AI: Why Data Tempo Beats Volume
In healthcare AI, performance depends less on data volume than on how data is orchestrated over time. Discover why data tempo is becoming a key competitive advantage.
Sustainable AI in Healthcare: A Strategic Lever to Control Costs and Scale AI
Sustainable AI is not a constraint but a competitive advantage. Learn how to structure, govern, and scale AI in healthcare using trusted, structured data.
Open data in healthcare: a complete guide to understand, source, and leverage official data
Learn how to leverage open data in healthcare: sources, structuring, and how to turn raw data into actionable insights for AI and pharma.
OIP Discovery®: The Bridge between the Most Renowned Scientific Sources
Alcimed Roundtable: AI in Support of Rare Disease Diagnosis and Patient Care
Part 3 - Tekkare’s Solution : Structured Data and Semantic Models for Reliable AI in Healthcare
In Part 3, discover the first two pillars of Tekkare’s solution: transforming open health data into structured resources and building semantic models to guide business analysis in healthcare.
Part 2 - Why AI Still Struggles to Take Hold in Healthcare: The Limits of LLMs and Infrastructure Challenges
Generic AI models often fail in pharma. In Part 2 of our series, explore why LLMs fall short for critical tasks and how infrastructure, security, and compliance barriers block reliable adoption.
Tekkare at HLTH Las Vegas 2025: Unveiling the OIP Ecosystem and the Future of Health Data
Tekkare unveils its OIP Ecosystem at HLTH Las Vegas 2025 — AI-ready platforms transforming open health data into intelligent ecosystems.
