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.
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).
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdata science
- natural sciencescomputer and information sciencesknowledge engineering
- medical and health sciencesclinical medicineoncology
- medical and health scienceshealth sciencespersonalized medicine
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
00133 Roma
Italy
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Participants (23)
75015 PARIS 15
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1749 016 Lisbon
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
1749-016 Lisboa
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EH8 9YL Edinburgh
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
EH1 3EG Edinburgh
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00138 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80-309 GDANSK
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KY16 9AJ St Andrews
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1010 Wien
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08290 Cerdanyola Del Valles (Barcelona)
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66386 St Ingbert
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
08035 Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20133 Milan
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Participation ended
81 451 Gdynia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
50009 Zaragoza
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37136 Verona
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38700 La Tronche
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22100 Lund
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151 23 MAROUSI ATTIKIS
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10561 Athina
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03056 KYIV
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4000 Kranj
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08018 Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.