Sprint #3: AI-driven Clustering and Adaptation Support for Defining Biomarkers and Behavioral Phenotypes from Real World Data

The predictive capabilities of traditional, vital-based biomarkers on trial outcomes has been under investigation in clinical trials. However, Real World Data is much more than measured vitals: patient-reported outcomes and physical measurements from trial participants’ lifestyles can provide us with extended biomarkers. Can they be useful in predicting future patient reported outcomes or even trial outcomes? Can they be used to model patients or to cluster them into behavioural phenotypes? These are questions addressed under the framework of the Sprint #3 workshop, where we will see how AI can support traditional industries, such as Life Sciences, as well as Health, Wellbeing and Ageing. We will also present commercial applications and R&D projects, discussing the challenges and opportunities through the introduction of AI mechanics.


Date and Time: Tuesday 17th December 2019, 9:00 – 15:00

Venue: University of Twente

Agenda: tba

Comments are closed.