CiDrep SickKids Research Accelerator
Biomedical Informatics in Medicine for Sick Kids
Our scientific research supports our mission and strategy through fundamental scientific studies and explorations in artificial intelligence, machine learning theory and across the domains of informatics applications to decipher human disease heterogeneity.
Our Research Philosophy
CiDrep SickKids Research Lab focus on artificial intelligence (AI) and translational research (TR), funded by grants that support discoveries in fundamental science to leverage heterogeneity to accelerate translational medicine to decipher human disease. Our research is an in-house data-driven laboratory that's applying machine learning to develop diagnostics and therapies to improve sick kids health. In 2018, we begun collecting and storing available data that emanate from pediatric phenotypic and research studies. We now have terabytes of data points in our cloud repository and data vault, 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.
We are actively applying for grant funding and other endowment positions to help our research team build and expand our research methods, tools and collaborate with other leading scientists and clinicians to ensure that our work is relevant to sick kids care. We encourage donations, endowments and all funding to support our research. Here's how you can help us.
We are building a diverse lab with researchers, computer scientists, computational biologists, bioinformaticians, data engineers, statisticians and AI scientists, with different areas of expertise to work closely together to better understand human immune system and study human disease heterogeneity.