The institute is establishing a new cancer treatment paradigm using cutting-edge analytics to maximize the use of diverse, high-volume data sets. Advances in machine learning are exploited to capture, integrate, and derive insights from clinical data, genomics, liquid biopsies (detecting tumor DNA in the blood), molecular/digital imaging, and 3D tumor mapping collated from hundreds of patients in real time.
Laboratory, clinic-based researchers, and data experts work together to develop sophisticated computational integration of the diverse data into a single platform which can inform and predict the best treatment decisions for each individual patient. These computational approaches are being evaluated through prospective clinical trials in breast, pancreatic, renal, and hematological malignancies. The institute is also developing novel ligands that can monitor patient response to treatment faster and more specifically than conventional techniques.
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