|
|
|
Xtalks, Online
2024-06-04
As stakeholders increasingly seek more robust evidence from registries and observational studies, researchers must adopt innovative methods for generating data. Previously restricted by outdated study models, evidence generation can now be more efficient and flexible through the use of cutting-edge technologies, including artificial intelligence. New technology-driven methods frees life science companies from historical constraints, enabling a deeper understanding of the course of disease, drug effectiveness, safety, and quality of life (QoL).
Join us in this webinar to explore how innovation in study methods and technology not only address the mounting demands for evidence generation but also pave the way for achieving scientific relevance and operational efficiency for observational research.
Register for this webinar today to gain insights into how AI is revolutionizing registries and observational research.
Keywords: Clinical Research, Real-World Data, Data Analytics, Real-World Evidence, Clinical Data, Data Management, Artificial Intelligence, AI, RWE, Observational Research, Data Science, Commercialization/HEOR/Market Access, RWD
|
|
|
|
|
|
Organized by:
|
|
Xtalks |
|
Invited Speakers:
|
|
Vitaly Doban, VP, Head of Data & Insights Generation, Ipsen Dr. Dan Drozd, Chief Medical Officer, PicnicHealth (Moderator) Troy Astorino, Chief Technology Officer & Co-Founder, PicnicHealth
|
|
|
|
|
|
Deadline for Abstracts:
|
|
2024-06-04
|
|
|
|
|
|
Registration:
|
|
Free Registration
|
|
E-mail:
|
|
tristan@xtalks.com
|
|
|
|
|
|
|
|