Skip to main content
European Commission logo print header

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

Project description

Bringing artifical intelligence to everyday healthcare

Artificial intelligence (AI) offers vast potential for the future of personalised medicine. Promising tailor-made treatments for patients, AI could help win the fight against serious illnesses such as cancer. However, the introduction of AI-enabled personalised medicine also presents challenges. Chief among these is the translation of AI-based suggestions into practical decision-making processes and treatment strategies. The EU-funded KATY project will develop an AI-empowered personalised medicine system that will greatly assist medical professionals and researchers in utilising and interpreting AI data in their daily work. This next-generation technology will bridge the gap between AI data and medical application and thus become a powerful tool in diagnosing, treating and defeating serious illnesses.


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).

Call for proposal


See other projects for this call

Sub call



Net EU contribution
€ 1 329 687,50
Via cracovia 50
00133 Roma

See on map

Centro (IT) Lazio Roma
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Participants (23)