Building composite cohorts using NLP: potential for the ecosystem and initial feedback
Automated language processing solutions are becoming ubiquitous across the country. Given the economic model and the utility of cohorts, this represents a massive opportunity. Where do the various stakeholders stand? What are the relationships with the centers? What are the economic models? A project focused on the prostate provides the main lessons, challenges, and the very first results.
Moderator
Mélina Gilberg holds a master’s degree in fundamental and applied mathematics for health. She began her career at Paris Descartes University in mathematics and epidemiology research and teaching, supported by the CNRS.
After working in London in the fields of pharmacoepidemiology and health economics consulting, Mélina joined the pharmaceutical industry, where she has been working for nearly 10 years.
Currently Director of the HEOR (Health Economics and Outcome Research) team within the Market Access Department at Amgen France, she is responsible for activities related to real-world data generation and health economics. Through Amgen France, Mélina actively participates in bringing together the health data ecosystem through her involvement in FIAC and the AI and Health Strategic Sector Committee, which she coordinates.
Speakers
A trained psychiatrist, Nicolas Bruno chose the industry to transform medical impact at scale. Today heading Medical Affairs at Novartis France, he carries a clear vision: rethinking traditional models to accelerate access to innovation and better serve patients. Committed to a future of healthcare that is more participatory, personalized, predictive, data-driven, and connected between public and private research.
