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CINDERELLA

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Clinical Validation of an AI-based approach to improve the shared decision-makin...

Clinical Validation of an AI-based approach to improve the shared decision-making process and outcomes in Breast Cancer Patients proposed for Locoregional treatment Breast cancer is the most commonly diagnosed cancer, with an estimated 2.3 million new cases per year globally. Approximately 90% of these patients will undergo breast surgery with/without radiation (locoregional treatment). Diff... ver más

31/05/2026

FUNDACAO CHAMPALIM...

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

FUNDACAO D. ANNA DE SOMMER CHAMPALIMAUD E DR.... 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 11 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-05-23

HORIZON-HLTH-2021-DISEASE-04-04: Clinical validation of artificial i... Expected Outcome:This topic aims at supporting activities that are enabling or contributing to one o...

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11 Participantes

FUNDACAO CHAMPALIMAUD

866.75K€ | Lider

FC.ID

295.36K€ | Participante

KRAFTVOLL TECHNOLOGIES GMBH

722.00K€ | Participante

INESC TEC

815.00K€ | Participante

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Duración del proyecto: 48 meses Fecha Inicio: 2022-05-23
Fecha Fin: 2026-05-31

Líder del proyecto

FUNDACAO D. ANNA DE SOMMER CHAMPALIMAUD E DR.... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Breast cancer is the most commonly diagnosed cancer, with an estimated 2.3 million new cases per year globally. Approximately 90% of these patients will undergo breast surgery with/without radiation (locoregional treatment). Different surgical techniques can be offered to the patient, each leading to completely different aesthetic outcomes. Moreover, for different patients, undergoing the same surgery, the aesthetic outcome could be completely different based on individual patient's factors (e.g, age, body habitus). In the CINDERELLA project, we will be using the BreLO AI system (an artificial intelligence-based tool for classification of aesthetic outcomes and matching data and photographs) integrated in CANKADO (a cloud-based healthcare platform) to create an easy-to-use application that can be used on any electronic device, to simulate visually to the patient the aesthetic outcome of a certain surgery. The CINDERELLA APProach is unique as it uses a clinical database and performs biometric matching, to create images that simulate to the patient the outcome of surgery. In the CINDERELLA trial (running during the project) we plan to compare if the application helped to fulfil the expectation and lead to a better quality of life. By feeding new clinical and photographic information to the CINDERELLA APProach after surgery, the artificial intelligence platform will be able to improve for the next cases. This trial will be practice-changing in the field of patient education and shared decision making. CINDERELLA platform will help to overcome any miscommunication and potential boundaries in patient's or physician's understanding of the potential outcomes of locoregional treatment of breast cancer. We believe that the CINDERELLA APProach will be used in the future to other locoregional treatments that might change patients aesthetic appearance. Thus, CINDERELLA APProach will be the forerunner for new innovative tools for communicating with our patients.

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