Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

ORACLE

Financiado

Optimize risk prediction after myocardial infarction through artificial intellig...

Optimize risk prediction after myocardial infarction through artificial intelligence and multidimensional evaluation Myocardial infarction (MI) is a leading cause of death worldwide. After MI, long-term antithrombotic therapy is crucial to prevent recurrent events, but increases bleeding, that also impacts morbidity and mortality. Giving these c... ver más

31/03/2029

FUNDACIÓN INSTITUT...

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

FUNDACIÓN INSTITUTO MEDITERRÁNEO PARA EL AVAN... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5 | 6M€

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-12-15

ERC-2023-STG: ERC STARTING GRANTS Scope:Objectives

I+D

Cerrada hace 2 años

0% 100% 100%

1 Participantes

FUNDACIÓN INSTITUTO MEDITERR...

1.41M€ | Lider

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

NUEVA HERRAMIENTA DE CUANTIFICACIÓN Y SEGMENT... NUEVA HERRAMIENTA DE CUANTIFICACIÓN Y SEGMENTACIÓN AUTOMÁTIC... 107K€ Cerrado

TIN2012-37546-C03-02 CORAZON HUMANO COMPLETO FISIOLOGICO VIRTUAL: CAMBIOS ARQUITE... 25K€ Cerrado

TED2021-132025B-C44 INTELIGENCIA ARTIFICIAL (IA) - HERRAMIENTAS DE EVALUACION DE... 858K€ Cerrado

BES-2017-080587 MULTI-SCALE PHYSIOLOGY-DRIVEN COMPUTATIONAL TOOLS TO ASSIST... 93K€ Cerrado

RYC-2011-08174 Advanced Image Processing and Machine Learning for the Analy... 184K€ Cerrado

TED2021-129774B-C22 CORAZON DIGITAL: NUEVAS HERRAMIENTAS Y MODELOS BASADOS EN CF... 234K€ Cerrado

Duración del proyecto: 63 meses Fecha Inicio: 2023-12-15
Fecha Fin: 2029-03-31

Líder del proyecto

FUNDACIÓN INSTITUTO MEDITERRÁNEO PARA EL AVAN... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5 | 6M€

Presupuesto del proyecto 1M€

Descripción del proyecto Myocardial infarction (MI) is a leading cause of death worldwide. After MI, long-term antithrombotic therapy is crucial to prevent recurrent events, but increases bleeding, that also impacts morbidity and mortality. Giving these competing risks prediction tools to forecast ischemic and bleeding are of paramount importance to inform clinical decisions, but their current precision is limited. Improve events prediction, by discovering novel and innovative markers of risk would have a tremendous impact on therapeutic decisions and patients’ outcome. I hypothesize that using innovative multidimensional information from wearable devices, biomarkers, behavioral patterns and non-invasive imaging, integrated through artificial intelligence computation, we may discover novel computational biomarkers of risk and improve current standards of risk prediction. In this project, I will enroll a large cohort of MI patients, whereby prospective collection of consolidated and innovative potential risk predictors will take place, in order to generate a comprehensive and multidimensional dataset. I will collect data from state-of-the-art non-invasive imaging, blood biomarkers, wearable medical devices of continuous heart electrical activity, sweat, mobility and behavioral patterns to create a large physiological time series allowing patients’ deep phenotyping. We will therefore analyze data leveraging artificial intelligence computation to find relevant associations with clinical outcomes, and compare new algorithms with current risk prediction tools. This research will increase our knowledge on bleeding and ischemic risk factors, enabling enhanced capability predictions models. In the near future, we hypothesize that our clinically-guided Artificial Intelligence algorithm might be integrated in clinical practice, helping clinicians to inform treatment decisions, patients to better understand their risk profile, finally setting a common ground for shared patient/physician decisions.

Conecta tu I+D

Entra hoy

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores