Hola,
¿eres nuevo aquí?

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

Tengo cuenta

Regístrate

Ver video

SCIseg

Financiado

Cerrado

Traumatic Spinal Cord Injury The Need to Classify Disease Severity

Traumatic spinal cord injury (tSCI) markedly reduces patients’ quality of life and economically burdens health systems. Neurological examinations and clinical magnetic resonance imaging (MRI) scans are currently insufficient for t... ver más

30/04/2026

269K€

Presupuesto del proyecto: 269K€

Líder del proyecto

UNIVERZITA PALACKEHO V OLOMOUCI No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 3 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-04-06

HORIZON-MSCA-2022-PF-01-01: MSCA Postdoctoral Fellowships 2022 ExpectedOutcome:

I+D

Cerrada hace 2 años

0% 100% 100%

Información adicional privada

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

3 Participantes

269.05K€ | Lider

CORPORATION DE L ECOLE POLYT...

EPM

N.D. | Participante

Proyectos interesantes

CENTER-TBI

Medical Technol...

Data Science

39M€ Cerrado

TRABIT

Medical Technol...

Data Science

4M€ Cerrado

CoMPaSS-NMD

Medical Technol...

Data Science

5M€ Cerrado

MES-CoBraD

Medical Technol...

Data Science

6M€ Cerrado

NIMBLE

Medical Technol...

Data Science

173K€ Cerrado

Pain_App

Medical Technol...

Data Science

204K€ Cerrado

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

Duración del proyecto: 36 meses Fecha Inicio: 2023-04-06
Fecha Fin: 2026-04-30

Líder del proyecto

UNIVERZITA PALACKEHO V OLOMOUCI No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 269K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Traumatic spinal cord injury (tSCI) markedly reduces patients’ quality of life and economically burdens health systems. Neurological examinations and clinical magnetic resonance imaging (MRI) scans are currently insufficient for the proper classification of the tSCI baseline level (i.e., severity). Although MRI scans are routinely employed in tSCI patients, the MRI potential is not fully utilised due to the complexity of the analysis and diversity of MRI data across hospitals. The aim of this project is to propose a fully automatic and reproducible analysis tool that could be run by clinicians to improve the clinical management of tSCI patients. First, deep learning models for automatic spinal cord and lesion segmentation from MRI images will be developed to go beyond the currently used error-prone and time-consuming manual segmentations. The models will be trained on a multi institutional MRI dataset to be robust to MRI data heterogeneity across hospitals. Then, quantitative measures of the tSCI severity will be automatically computed from the segmented structures (i.e., spinal cord and lesions) and employed within the statistical model to predict tSCI severity. Finally, the developed methodology will be translated to the real-world healthcare system and tested on a prospectively acquired dataset of tSCI patients. Importantly, deep learning models, analysis pipeline, and statistical model will be seamlessly integrated into the current state-of-the-art ecosystem for spinal cord MRI data analysis and made publicly available to facilitate open science and reproducibility across hospitals. The project will create the first step in the improvement of care and clinical management in millions of patients with tSCI worldwide. In the longer term, after demonstrating the clinical relevance of the proposed tools, we assume that advanced MRI-based methods will be adopted by the larger clinical community for more personalised care.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores