About PROMOTE-BIO

PROMOTE-BIO is a research project focused on transforming shoulder healthcare through personalized computational biomechanics. Targeting glenohumeral osteoarthritis (OA), it aims to develop an innovative software tool that automates the creation and simulation of subject-specific biomechanical models from medical imaging data. By integrating musculoskeletal and finite element modeling with machine learning, PROMOTE-BIO will support earlier diagnosis and more effective, personalized treatment planning. The main goals of the project can be summarized in the following objectives:

  • Automate the generation of subject-specific shoulder biomechanical models from imaging data
  • Integrate musculoskeletal and finite element modeling for comprehensive biomechanical analysis
  • Develop a user-friendly software tool for clinical and research use
  • Compare automated vs. traditional modeling workflows to ensure reliability and accuracy
  • Explore the diagnostic potential of biomechanical models in identifying OA-related changes
  • Bridge the gap between advanced computational tools and real-world clinical practice

    • Work Packages

    PROMOTE-BIO is structured into six interconnected work packages, each playing a pivotal role in achieving the project's objectives:

    WP1 - Coordination and Project Management

    It focuses on project management and coordination to ensure the successful execution of project objectives within predefined timelines and budget constraints.

    The activities of this WP are divided into the following interrelated tasks:
    T1.1. Coordination
    T1.2. Administrative and financial coordination
    T1.3. Risk management
    T1.4. Data management plan

    It is dedicated to assembling a comprehensive collection of medical imaging, kinematic, electromyographic, and strength data from healthy individuals and patients with glenohumeral OA.

    The activities of this WP are divided into the following interrelated tasks:
    T2.1. Medical imaging data collection
    T2.2. Experimental biomechanical data collection

    It processes the collected medical imaging data to develop subject-specific biomechanical models using traditional methods.

    The activities of this WP are divided into the following interrelated tasks:
    T3.1. Healthy dataset processing
    T3.2. Patient dataset processing

    In this WP, cutting-edge algorithms are developed based on the biomechanical data processed in WP3 to automate the generation and simulation of biomechanical models.

    The activities of this WP are divided into the following interrelated tasks:
    T4.1 Automated biomechanical modeling of the shoulder
    T4.2 Automated biomechanical simulation of the shoulder

    It assesses the efficacy and capabilities of the developed software tool in patients with glenohumeral OA.

    The activities of this WP are divided into the following interrelated tasks:
    T5.1 Verification of Automated Biomechanical Modeling for Shoulder Analysis
    T5.2 Preliminary Assessment of Biomechanical Markers for Early Glenohumeral OA Diagnosis

    It focuses on both the strategic dissemination of results and the effective exploitation of the project’s outputs to maximize its long-term impact.

    The activities of this WP are divided into the following interrelated tasks:
    T6.1. Dissemination
    T6.2. Exploitation

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