This year’s discussion will be focused on supporting the growing biopharmaceutical endeavours to advance pipelines and enhance successful outcomes with data science and analytics.
Focusing on how to optimize processes to aggregate, integrate and incisively analyse the myriad of complex data sets available, this meeting will inspire you to confidently cut through the noise to extract true insight and value from data towards the acceleration and innovation of drug development.
Use this highly interactive platform to engage with data scientists and data leaders in pharma companies and delve into the insightful case-studies on the challenges, advances and latest innovations in tools, methodologies and applications of advanced analytics in the biopharmaceutical industry: from real-world evidence, to data governance and strategy, predictive analytics, machine learning and artificial intelligence.
Join us and uncover how to advance and innovate data science applications in pharma.
9:00 am to 6:00 pm
|Contact Person:||Aarti Diwan|
|Organizer State/Province: (Outside US)|
|Organizer Country||Data not provided|
|Structural makeup||Data not provided|
|Host Sponsor; Other Sponsors||Hanson Wade|
|Event Site/Venue||Hilton London Olympia|
|Event sold out?||No|
|Multiple locations or dates?||No|
|Statistics available for most recent event held in:||NA|
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|Is Registration contact information the same as Organizer Contact above?||NA|
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|Web Page ||https://go.evvnt.com/172358-0|
|Can one register for your CE on your web site?||NA|
|Can registration be made by snail (regular) mail?||NA|
|Online housing reservations:|| |
|Do you have additional written or AV materials for sale?||NA|
|If so, are they available for non-attendees as well as those attending?||NA|
|Is full tuition necessary to ensure registration?||NA|
|Will there be shuttle service available?||NA|
|Additional notes:||Brochure: https://go.evvnt.com/172358-1|