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Global and deep RWE: The most realistic clinical data possible

Related topics: Real-World Evidence & Late-Phase Research, Digital & Technology

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Overview

Looking at the full universe of patients, leveraging surrogate endpoints, clustering poor responders,

Considering the durability of the effect, conducting indirect treatment comparisons, understanding unmet needs - In summary, improving data packages while reducing uncertainty.

All that is a step closer if you apply AI to RWE generation, pulling the information directly from healthcare providers, without intermediaries.

We are talking about a database, a registry, a CRF... with an "undo button"; at a fraction of the effort.

Speaker

Ignacio Medrano

Founder & Chief Medical Officer 
Savana 

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REMINDER

This is the presenters’ personal opinion and does not necessarily represent true facts, the official views or policy of their organisation, nor the views of Evidence Life Science.

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