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NCT06734949

CoMPaSS-NMD - Computational Models for New Patients Stratification Strategies of HNMD

Sponsor: University of Modena and Reggio Emilia

View on ClinicalTrials.gov

Summary

The project "Computational Models for new Patients Stratification Strategies of Neuromuscular Disorders" (CoMPaSS-NMD) creates novel and universal tools for the diagnostic stratification of patients suffering from Hereditary Neuromuscular Diseases (HNMDs) aiming at personalised treatments. HNMDs often occur in young people, causing long-term disability and early death; these conditions bring lack of participation in society, need for permanent assistance and may require long-term institutionalisation. Multidimensional HNMD data - clinical, genetic, histopathological and MRI - will be provided by third-level clinical centers in Italy, France, Germany, Finland and the United Kingdom as part of the European Reference Network for Rare Neurological Diseases. Computational tools for high-dimensional clustering will be applied in an unsupervised learning approach using the internal structure of data to define groups of similar patients. Classification model averaging and integration techniques for federated learning-inspired model building and novel HNMD-specific descriptors of histopathological images will be implemented. The adoption of this multidimensional view has the potential to increment the diagnostic rate of HNMDs by 30% and foster effective actions by European national health systems. As main project outcome, the CoMPaSS-NMD Atlas Platform will be AI-based application providing precise clinical characterization of patients. The project will deliver recommendations and guidelines for stratification-based patient management to offer superior standard-of-care for diagnosis and prognosis and assist in planning clinical trials. It will follow a user-centred, co-design methodology with a strong stakeholder engagement and networking with other project consortia. The project engages partners with clinical, biotechnological, ICT, AI, ethical and legal, communication and exploitation competences: six clinical/academic centres, one academic, and four industrial partners.

Official title: Computational Models for New Patients Stratification Strategies of Neuromuscular Disorders

Key Details

Gender

All

Age Range

Any - Any

Study Type

OBSERVATIONAL

Enrollment

500

Start Date

2024-05-01

Completion Date

2027-04-30

Last Updated

2025-02-05

Healthy Volunteers

No

Interventions

OTHER

AI-guided patient classification

The intervention consist in firstly obtaining clinical, genetic, histopathological, MRI data from total 500 patients coming from the defined Cohorts. The adaptative AI-tool developed, based on data provided, will then identify multi-modal characteristics that will support patients' superclusters and their multi-omics signatures.

Locations (3)

Ludwig-Maximilians-Universitaet Muenchen

Munich, Germany

Fondazione Stella Maris

San Miniato, Pisa, Italy

Azienda Ospedaliero-Universitaria di Modena

Modena, Italy