CiDrep SickKid's non-profit research focuses on the use of artificial intelligence (AI), translational research (TR), and biomedical informatics (BMI) methods, funded by income and grants therefrom to support research to embrace heterogeneity in data that can accelerate translational medicine to decipher disease for diagnostics and therapies to improve child health.
Tools and Technologies
We are developing supervised and unsupervised computational tools to detect and decipher human disease.
Decoding "Dirty" Data
We are decoding phenotypic and genomic datasets using algorithms to understand their role in diseases.
Basic Science & Biology
We are linking “clinical and genomic data” and applying codes to develop computational diagnostics.