Focus Area 1
Quantitative Analysis and Insight Extraction from Imaging and Pathology Data
Harnessing enormous amounts of data produced by digital pathology and radiological imaging to provide accelerated, rigorous and actionable insight for patients, from diagnosis to intervention and follow-up. Current manual approaches to understanding this data are limiting, and IDSO will bring a rigorous and actionable lens to pursuing advances in automated tools and AI algorithms to allow us to more rapidly detect cancers, possibly at earlier stages, and also provide measurable assessment of the treatment response of each patient using the full scope of information available in the gigabytes of data derived from our state-of-the-art 3D imaging systems. Already underway is the Tumor Measurement Initiative (TMI), which is building an institutional framework that supports standardized, automated, quantitative, imaging-based tumor measurements across each patient’s treatment to reduce uncertainty in determining tumor progression and empower physicians to adapt treatments more quickly, if needed.