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As the demands on real-world data teams continue to grow, with more data sources, more stakeholders, and more pressure to deliver trusted evidence faster, the...
- Blogs
Health economics and outcomes research (HEOR), epidemiology, and real-world evidence (RWE) teams are under growing pressure to deliver meaningful insights faster than ever before. As...
- Blogs
Learn what organizations must do to balance speed, transparency, governance, and innovation in an increasingly data-driven and AI-reliant environment.
- Blogs
By Stacy Justo, Meghana Shamsunder, and Marten van den Berg
- Blogs
As regulators around the world grow more comfortable with real-world data (RWD) and AI-enabled evidence generation, pharma companies are rethinking how, and when, they build...
- Blogs
As real-world data (RWD) becomes more central to healthcare decision making, evidence generation is playing an increasingly important role, from early identification to treatment optimization...
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Embed validated patient phenotype definitions directly into your workflow for faster insights
How Machine Learning is Improving Patient Outcomes: 5 Use Cases in 5 Minutes
Across the life sciences industry, machine learning is a powerful tool for analyzing patient data and improving the precision and efficiency of evidence generation. By
Emerging Topics in Real-World Evidence: Part 2
Dr. Samy Suissa is a Co-Founder and Principal Investigator of the Canadian Network for Observational Drug Effect Studies (CNODES). He is Director of the Centre for
Emerging Topics in Real-World Evidence: Part 1
Dr. Peter Neumann is Director of the Center for the Evaluation of Value and Risk in Health at the Institute for Clinical Research and Health
From Our Point of View: Highlights of DIA 2023
DIA 2023 was in Panalgo’s hometown of Boston last week and as usual, it did not disappoint. This year’s theme was ‘Illuminate’ – shining a
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