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      • Executive committee
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      • Education committee
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  • Our activities
    • Workshop: Basic research skills for young researchers in LMIC
    • PROMs workshop
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    • Project 1.0: Biological agents and post-operative outcome in IBD
    • Project 2.0: Patient-reported outcome in colorectal surgery
    • Project 3.0: De-identification of health care data
    • Project 4.0: Collaboration in surgical research
    • Project 5.0: Using AI to extract data from medical records
    • Project 6.0: Using AI to extract patterns from blood investigations
    • Project 7.0: Using AI to improve early discharge of hospitalized patients
    • Project 8.0: Improving outcome measurements of pre-operative optimization bundles
    • Project 9.0: Patterns of contact with primary and secondary health care systems to predict disease activity in patients with IBD
    • Project 10: Deciphering the chronic abdominal pain with no detectable pathology using pattern recognition algorithms (big data mining)
    • Project 11: Predicting anastomotic leak using pre-operative abdominal scan
    • Project 12: Predicting local-regional recurrence patterns using AI
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  • About Us
    • Our mission
    • Our constitution
    • Committees
      • Executive committee
      • Communication committee
      • Education committee
      • Membership committee
  • Our activities
    • Workshop: Basic research skills for young researchers in LMIC
    • PROMs workshop
    • OpenSourceResearch in the media
    • Archive
  • Research
    • Project 1.0: Biological agents and post-operative outcome in IBD
    • Project 2.0: Patient-reported outcome in colorectal surgery
    • Project 3.0: De-identification of health care data
    • Project 4.0: Collaboration in surgical research
    • Project 5.0: Using AI to extract data from medical records
    • Project 6.0: Using AI to extract patterns from blood investigations
    • Project 7.0: Using AI to improve early discharge of hospitalized patients
    • Project 8.0: Improving outcome measurements of pre-operative optimization bundles
    • Project 9.0: Patterns of contact with primary and secondary health care systems to predict disease activity in patients with IBD
    • Project 10: Deciphering the chronic abdominal pain with no detectable pathology using pattern recognition algorithms (big data mining)
    • Project 11: Predicting anastomotic leak using pre-operative abdominal scan
    • Project 12: Predicting local-regional recurrence patterns using AI
  • Publications
  • Service
    • Projects that we supported
  • FAQ
  • Log In
    • Membership
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Open Source Research

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Workshop: Basic research skills for young researchers in LMIC

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