As the volume of the real word evidence data increases, the mechanisms to collect and translate the data into meaningful insights for pharmaceutical organisations becomes increasingly complex. Advances in technologies such as artificial technology have delivered global excitement, but mastering how to leverage AI for meaningful patient outcomes remains uncracked.

The application of AI in the generation of RWE has significant potential to improve drug discovery, optimise trial design, and identify patient treatment pathways – but pharma need to overcome hurdles of streaming data into standardised models, data quality, and interpretation of diverse data sets if it is to succeed in building trust in RWE.

AI offers pharma the opportunity to streamline data, accelerate RWE adoption, and positively impact patient outcomes. Join this webinar to learn how to:

  • Decipher underutilised RWE data through AI to positively impact patient and pharma outcomes
  • Leverage AI to draw meaningful insights and patterns that enhance drug discovery, identify risk, improve patient pathways, adherence monitoring and patient behaviour.
  • overcome challenges of standardisation, organisation, analysis and interpretation to maximise RWE’s benefits and revolutionise patient-driven healthcare

Click here to find additional details and registration information.


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The role of patient-centric technologies & tokenization in RWE studies

The role of patient-centric technologies & tokenization in RWE studies

Join the Castor team on the 3rd May 2023 with Aaron Berger from UBC & Ryan Moog from Datavant where we will dive deep into all things RWE, patient-centric technologies and the role of tokenization in clinical trials. You will hear about RWE case studies from the experts, learn new trends in the adoption of DCTs and how the role of patient-centric technologies & tokenization can contribute to successful RWE studies.