What We Do
We aim to conduct translational studies for children with rare and high risk diseases for the care and cure of sick (children) kids.
CiDrep SickKids Research Institute (CSRI) focus on artificial intelligence (AI), translational research (TR) and biomedical informatics (BMI), funded by income therefrom to support research in basic science to leverage heterogeneity to accelerate translational medicine to decipher disease. Our research is a data-driven cloud laboratory thats applying deep learning techniques to develop diagnostics and therapies to improve child health. In 2018, we begun collecting and storing available datasets that emanate from pediatric phenotypic and research studies. We have stored terabytes of data points in cyberinfrastructure (cloud repository and data vaults), and continuing to develop machine learning methods and tools to embrace heterogeneity in data that can accelerate translational medicine for diagnostics and therapies to improve health.
EHR Deep Learning
We are developing "AI" supervised and unsupervised machine learning (ML) methods to detect and decipher human disease heterogeneity.
Decoding "Dirty" Data
We are decode pediatric phenotypic and genomic datasets using algorithm to understand their role in human diseases.
We are linking “clinical and genomic data” and applying machine learning to develop diagnostics and therapies to improve child health.