Research Programmes

1. Risk Stratification, Precision Diagnostics and Clinical Decision Modelling

To improve pre-intervention clinical decision-making through predictive models, biomarkers, artificial intelligence and real-world data.

1.1 Personalised screening and population implementation

  • Risk-adapted screening (prostate, CRC)
  • Primary care-hospital integration
  • Risk-based public health models

1.2 Molecular biomarkers and precision diagnostics

  • Faecal microRNAs
  • ctDNA and circulating biomarkers
  • Clinical genomics integration

1.3 Predictive modelling and clinical decision support

  • Clinical-molecular multivariable models
  • AI-based diagnostic prioritisation
  • Prospective validation and healthcare impact

1.4 Registry-based and real-world data research

  • Large cohort analysis
  • OMOP harmonisation
  • Guideline and consensus development

2. Minimally Invasive and Advanced Surgical-Endoscopic Innovation

To optimise surgical and endoscopic treatments through technological innovation, international benchmarking and reduction of clinical variability.

2.1 Minimally invasive and robotic colorectal surgery

  • Oncological outcomes
  • European benchmarking
  • Perioperative optimisation

2.2 Device innovation and biomedical engineering

  • Personalised 3D printing
  • Surgical material development
  • Industrial transfer and MDR regulation

2.3 Advanced endoscopy and procedural quality

  • Optical diagnosis
  • AI-assisted adenoma detection
  • Standardisation and variability reduction

2.4 Peri-interventional optimisation

  • Pharmacological management
  • Safety protocols
  • Bowel preparation strategies

3. Functional Outcomes, Survivorship and Translational Care Innovation

To improve quality of life, functional outcomes and biomarker-based monitoring after intervention.

3.1 Post-surgical functional outcomes

  • Anorectal function
  • Urinay dysfunction
  • Pelvic rehabilitation

3.2 Device innovation for quality of life

  • Non-invasive devices
  • Development and patenting
  • Clinical validation

3.3 Biomarkers in monitoring and recurrence

  • Personalised ctDNA
  • Predictive toxicity biomarkers
  • Translational monitoring

3.4 Survivorship and structured care models

  • Integrated PROMS
  • Multidisciplinary follow-up
  • Implementation in clinical pathways

GOES
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