EU Project siNPAIN: Developing a Next-Generation Advanced Therapy for Knee Osteoarthritis

Cartilage assessment and digitalization patient profiling

Aiming to develop novel siRNA advanced therapy, the project will create models from biopsies of patients that allow a deep insight into knee osteoarthritis and will generate advanced siRNA-based products that help alleviate pain and slow down disease progression. The efficacy and safety of these nanotherapeutics will be validated in ex vivo and in vivo models that will be employed to elucidate biological mechanisms of the condition's progression. Profiles of the patients will then allow machine-learning tools to deliver personalised therapies according to the individual disease stage.

Cartilage assessment and digitalization patient profiling

The goal of institute is to develop a numeric and graphic patient-specific cartilage profile which will be used to support decision making and to customize tissue engineered solutions.

Our specific objectives are:

  • (i) assess and establish the most predictive parameters and image features for bone and cartilage in the knee, and
  • (ii) develop a patient-specific and highly sensitive profile of cartilage and bone conditions



Segmentation Process to develop cartridge 3d model from CT and MRI image

The current clinical cartilage evaluation is generally based on one of three medical imaging modalities: X-ray, CT (computed tomography) and MRI (magnetic resonance imaging) scans. Each of these provides a different set of information which identify cartilage- and bone-related anomalies in femur, tibia, and within the different compartments of the knee joint. The accomplishment of this work will improve the current clinical evaluation for cartilage degeneration and support a clinical decision for intervention.

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