Knowledge At the Tip of Your fingers: Clinical Knowledge for Humanity
KATY will develop an AI-empowered Personalized Medicine system that can bring medical “AI-empowered knowledge” to the tips of the fingers of clinicians and clinical researchers. The AI-empowered knowledge is a human interpretable knowledge that clinicians and clinical researchers can: understand, trust and effectively use in their everyday working routine. KATY is then an AI-empowered Personalized Medicine system built around two main components: A Distributed Knowledge Graph and a pool of eXplainable Artificial Intelligence predictors. As a stress test and due to the lack of personalized clinical responses, KATY will be experimented in a low prevalence and complex cancer: Clear cell renal cell carcinoma (ccRCC).
Open Evidence will be contributing with experience and expertise in evaluation and impact assessment in WP 6 (Large Scale Pilot and Validation). WP6 will actively engage a clinical community to demonstrate the potential of models trained using publicly available data to truly impact clinical decision making and determine the potential of the user interfaces developed in KATY to enrich research, clinical and patient awareness around therapeutic choices. It will supervise the execution and the validation of the AI models predicting response to small-molecules targeted therapies, immunotherapy in renal cancer. It will model the cost efficiency of KATY versus current treatment selection pathway to optimize resource allocation and health policy decision making, assess patient preference for KATY proposed treatment options, including in structured assessment all aspects of care provision, to ensure optimal patient centricity in decision making. This work package will validate the predicted therapies obtained by KATY platform using in vitro and in vivo models.
Open Evidence is also leading the Policy and socio-economic impact (T7.4) in WP7 which aims at analysing the socio-economic impact of AI interventions at healthcare system level, including all the stakeholders involved in the process of AI development and use (health professionals).