ICAN I/O - Data sciences
ICAN I/O is a platform of expertise focused on the analysis and integration of multi-omics and clinical data. The platform goes hand in hand with the evolution of modern technologies and the use of robust algorithms to meet research objectives through a collaborative and holistic approach integrating multi-omics technologies and statistical analysis.
The team includes data managers and a data scientist who all have extensive experience gained from working on national and international projects, collaborating with eminent scientists, doctors and researchers on many scientific topics.
Clinical research
Database management and curation
CRF paper
- Protocol reading
- Paper CRF review
- Paper CRF Validation
eCRF creation
- List of variables
- Implementation in REDCap
- FRC test
- Validation of CRF
- Creation of user accounts
- Release
Edit Checks
- Creation and validation of the Data-Validation Plan
- Development / Test / Validation – Selection of required fields
Extraction
- Data extraction / Creation of datasets
Documentation
- REDCap User Guide
- Study entry guide
- Data-Management Plan of the study
External Data
- Link to external data
eCRF Maintenance and Data Quality Control
- Fixing problems
- New version / Amendment
- User Management
- Creation of queries
Monitoring
- Provision to the monitor of a fraction of data to be monitored
Statistics
Statistical analysis plan
Descriptive analyzes (Tables + Figures)
Multivariate analyzes
- Logisitc/Cox-Regression models
- Model Validation
- Sensitivity analysis
- Multiple-Imputation
machine learning
- Variable prognosis
- Outcome predictions / Risk prediction model
- Validation model
- Development of Clinical Scores
Omics
Team
Mehdi MENAI, Ph.D
data manager
Romain Chenu
data manager
Waed Khalek
Health Data & Artificial Intelligence Project Manager
Publications
2021