LynxCare is facilitating RWE collaborations between a growing network of hospitals and life science companies in Europe. These federated networks enable qualitative RWE generation at scale across numerous therapeutic areas within a strict legal & ethical framework.
Listen to Clara L. Oeste, as presented during ISPOR EU 2022, how the insights generated from federated clinical data networks are being used to identify patients at-risk of rare diseases in cardiology and neurology through AI and NLP, and how we can help automating data inclusion in a national registry using AI.
Detection of cardiac aTTR Amyloidosis in a Real-World heart failure population: automated data extraction from Electronic Health Records using Natural Language Processing.
Using AI to automate data inclusion into a National Registry, improving hospital workflow efficiencies for qualitative reporting of gastrointestinal cancers.
An Artificial Intelligence-driven framework to screen for hATTR polyneuropathy by automatically detecting red flag symptoms in Electronic Health Records.