The Aga Khan University is a private, international university committed to international standards of excellence in teaching, research and service. Its teaching hospital, the Aga Khan University Hospital has been accredited by the prestigious Joint Commission International for achieving the highest international healthcare standards.
Brain tumors are responsible for disproportionally high morbidity and mortality due to the aggressive biological behavior of these tumors and the vulnerable location they are native to. In addition to differences in genetic profiles across patients, heterogeneity within the tumors adds another layer of complexity, resulting in the failure of the current one-size-fits-all regimens. We propose developing a comprehensive and automated pipeline - “Virtual Biopsy for Classification, Outcome prediction and Treatment planning of Brain tumors (ViBCOT)” with the help of machine learning that will combine tumor imaging with gene expression signatures to develop models that will allow non-invasive diagnosis, stratification, and subtyping of tumors as well as predicting short- and long-term survival in these patients. A large training dataset, including significant data representative of tumor epidemiology in our population, will be used to develop robust segmentation and predictive models through the application of deep learning algorithms.
