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About Us
Our mission
Why there is a need for OSRC?
What is common between ARM and OSRC?
Our social responsibility
Social responsibility as our members see it
Our tragets
Our members
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Executive committee
Communication committee
Education committee
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Our activities
Workshop: Basic research skills for young researchers in LMIC
Special issue of MIS about surgery in LMICs
PROMs workshop
OpenSourceResearch in the media
Partners and affiliates
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 with mentorship
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About Us
Our mission
Why there is a need for OSRC?
What is common between ARM and OSRC?
Our social responsibility
Social responsibility as our members see it
Our tragets
Our members
Committees
Executive committee
Communication committee
Education committee
Membership committee
Our constitution
Our activities
Workshop: Basic research skills for young researchers in LMIC
Special issue of MIS about surgery in LMICs
PROMs workshop
OpenSourceResearch in the media
Partners and affiliates
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 with mentorship
FAQ
Log In
Membership
Your Profile
Your Profile
#OpenSourceResearch collaboration:
Committees
Executive committee
Communication committee
Education committee
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