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Sprint #3 AI-driven Insights from Real World Data – Defining Biomarkers and Behavioral Phenotypes
17/12/2019    
8:00 am - 5:00 pm
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.

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