ICAN I/O - Data sciences
Our platform 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 embraces 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, all of whom have extensive experience gained from working on national and international projects, in collaboration with leading scientists, physicians and researchers on a wide range of scientific topics.
Thanks to this expertise, the IHU ICAN is positioned as a major international player capable of generating massive healthcare data.
Clinical research
Database management and curation
Paper CRF
- Protocol reading
- Paper CRF review
- Paper CRF validation
Create eCRF
- List of variables
- Implementation in REDCap
- CRF test
- CRF validation
- Creation of user accounts
- Go live
Edit Checks
- Creation and validation of the Data-Validation Plan
- Development / Test / Validation – Selection of mandatory fields
Extraction
- Data extraction / Dataset creation
Documentation
- REDCap User Guide
- Study entry guide
- Data-Management Study plan
External data
- Link to external data
eCRF maintenance and data quality control
- Troubleshooting
- New version / Amendment
- User management
- Query generation
Monitoring
- Monitor a fraction of data to be monitored
Statistics
Statistical analysis plan
Descriptive analyses (Tables + Figures)
Multivariate analysis
- Logisitc/Cox-Regression models
- Model Validation
- Sensitivity analysis
- Multiple-Imputation
Machine-Learning
- Prognostic variables
- Outcome predictions / Risk prediction model
- Model validation
- Development of Clinical Scores
Omics
Team
Mehdi MENAI, Ph.D
Data Manager
Pauline PAULSTEPHENRAJ, Ph.D
Data Scientist/Data Manager
Rose TCHALA SARE, MS
Apprentice – Bioinformatics
