"Prognostic and Predictive Radiomics and Pathomics: Implications for Precision Medicine"
Anant Madabhushi, PhD
Professor, Biomedical Engineering
Case Western Reserve University
Since digital pathology does not destroy tissue and would involve the use of computational algorithms for identifying patterns within the images which in turn could be deployed via a cloud based service and hence could have a global reach, digital pathology based companion diagnostic tests represent a low cost, tissue non-destructive alternative to molecular diagnostic tests. The technology for digital pathology does exist and a huge advantage is that these approaches can indeed be validated on retrospective cohorts. Additionally with access to the appropriate clinical trials, these tests could be validated as both prognostic and predictive.
In this talk I will discuss the development work on new pathomic approaches for capturing intra-tumoral heterogeneity and modeling tumor appearance. I will also focus my talk on how pathomic approaches can be applied to predicting disease outcome, recurrence, progression and response to therapy in the context of prostate, brain, rectal, oropharyngeal, and lung cancers. Additionally I will also discuss some recent work on looking at use of pathomics in the context of racial health disparity and creation of more precise and tailored prognostic and response prediction models.
