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therapy. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial characteristics of TMEs [1]. In lung
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variety of CAI’s across all chondritic meteorites, machine learning analytics will be employed on a range of microscopy data sets, both archival and freshly acquired. Starting from optical micrographs a
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trajectories of liver regeneration and cancer. Linking computer simulations with experimental observations will further uncover intrinsic and extrinsic factors shaping clonal expansion in mouse models of liver
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- and long-lived species. We will assess mRNA and protein expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we