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PREDICT CUFF - A multimodal machine learning approach for precision medicine and personalized care of patients with rotator cuff diseases

Project objectives

The objective of the project is to develop artificial intelligence algorithms based on clinical, genomic, transcriptomic, biomechanical, immunohistochemical data: These algorithms will have a predictive value for outcomes in patients suffering from rotator cuff pathology and will lay the foundations for an approach of precision to this pathology.

Start and end date
May 2023 - Ongoing

Project Manager
PI Prof Giuseppe Umile Longo Full Professor of Orthopedics Fondazione Policlinico Universitario Campus Bio-Medico - Principal Investigator
prof Fiorella Gurrieri Full Professor of Medical Genetics UCBM

Coordinating institution of the project
UCBM and Fondazione Policlinico Universitario Campus Bio-Medico of Rome

Other Institutions involved
  • Institute for Biomedical Research and Innovation (IRIB) National Research Council (CNR)
  • Mater Domini Catanzaro university hospital

Funding source(s).
• PNRR-MAD-2022-12376080

Economic value of the project

1.000.000 €
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