CoMPaSS-NMD
Computational Models for new Patients Stratification Strategies of Neuromuscular Disorders
CoMPaSS-NMD
Computational Models for new Patients Stratification Strategies of Neuromuscular Disorders
Project mission
CoMPaSS-NMD, an acronym for Computational Models for new Patients Stratification Strategies of Neuromuscular Disorders, is a European project funded under the EU programme Horizon Europe programme, started in May 2023.
The project, lasting 4 years, aims to create a new generation of methods for “precision diagnosis” that allow researchers and/or healthcare professionals to successfully classify patients affected by Hereditary Neuromuscular Diseases (HNMDs). Through the application of methods based on the use of Artificial Intelligence (AI) and Machine Learning (ML), the study aims to provide new perspectives in the knowledge of the pathogenetic and transmission mechanisms of HNMDs, leading to a more accurate diagnosis, thus improving the prognosis, which is often difficult to predict in the clinical practice.
Project mission
CoMPaSS-NMD, an acronym for Computational Models for new Patients Stratification Strategies of Neuromuscular Disorders, is a European project funded under the EU programme Horizon Europe programme, started in May 2023.
The project, lasting 4 years, aims to create a new generation of methods for “precision diagnosis” that allow researchers and/or healthcare professionals to successfully classify patients affected by Hereditary Neuromuscular Diseases (HNMDs). Through the application of methods based on the use of Artificial Intelligence (AI) and Machine Learning (ML), the study aims to provide new perspectives in the knowledge of the pathogenetic and transmission mechanisms of HNMDs, leading to a more accurate diagnosis, thus improving the prognosis, which is often difficult to predict in the clinical practice.
Objectives
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To generate robust and reliable datasets needed to develop computational tools based on validated data |
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To create solutions that integrate different clinical data for the classification of patients with similar clinical characteristics supporting healthcare professionals and the scientific community as well as people potentially affected by hereditary neuromuscular diseases |
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To frame evidence-based guidelines to improve the HNMD patient management above the standard of care currently supporting healthcare professionals |
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To create a public platform for collecting data of patients affected by HNMD, the ATLAS-NMD, in compliance with the FAIR (Findable, Accessible, Interoperable, Reusable) rules of the European Union |
Objectives
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To generate robust and reliable datasets needed to develop computational tools based on validated data |
|---|---|
|
To create solutions that integrate different clinical data for the classification of patients with similar clinical characteristics supporting healthcare professionals and the scientific community as well as people potentially affected by hereditary neuromuscular diseases |
|
To frame evidence-based guidelines to improve the HNMD patient management above the standard of care currently supporting healthcare professionals |
|
To create a public platform for collecting data of patients affected by HNMD, the ATLAS-NMD, in compliance with the FAIR (Findable, Accessible, Interoperable, Reusable) rules of the European Union |
Timeline
Timeline