Knowledge At the Tip of Your fingers: Clinical Knowledge for Humanity

Objective

AI-empowered Personalized Medicine promises to find tailored, targeted, nearly “hand-made” cures for patients. Cancer treatment desperately needs boosters to find tailored, targeted cures for patients and Personalized Medicine can play a crucial role. Tailored targeted therapies in cancer treatment are already a reality but the current practice of targeted therapies in cancer treatment has been derived with traditional methods of data analysis. AI-empowered Personalized Medicine may help to bring targeted therapies to the next level. However, no matter how precise it is, no matter how many lives it can save in principle, and no matter if it can utilize the entire medical knowledge. If clinicians do not understand its suggestions and decisions, AI-empowered Personalized Medicine will not be a game changer, clinicians will not use it to make everyday decisions and, thus, it is doomed to fail. Hence, the real challenge is building AI-empowered Personalized Medicine systems that can be accepted by clinicians and clinical researchers. In KATY, we grasp the above challenge and we propose 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 a 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).

Field of science

/natural sciences/computer and information sciences/data science/data analysis
/natural sciences/computer and information sciences/artificial intelligence
/medical and health sciences/clinical medicine/cancer

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA

Address

Via Cracovia 50
00133 Roma
Italy

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 1 329 687,50

Objective

Field of science

Programme(s)

Topic(s)

Call for proposal

Funding Scheme

Coordinator

Participants (19)

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