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KATY

Financiado

Cerrado

Knowledge At the Tip of Your fingers Clinical Knowledge for Humanity

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 p... ver más

31/12/2024

UNITOV

8M€

Presupuesto del proyecto: 8M€

Líder del proyecto

UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 25 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-12-31

DT-TDS-04-2020: AI for Genomics and Personalised Me...

I+D

Cerrada hace 4 años

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

25 Participantes

UNITOV

1.33M€ | Lider

SCATI LABS

950.97K€ | Participante

EURECAT

483.75K€ | Participante

PREDICTBY RESEARCH AND CONSU...

272.50K€ | Participante

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Duración del proyecto: 48 meses Fecha Inicio: 2020-12-04
Fecha Fin: 2024-12-31

Líder del proyecto

UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 8M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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).

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