The Early Detection Research Network (EDRN), an initiative of the National Cancer Institute (NCI), working with tens of institutions on accelerating the translation biomarker research for clinical applications and to detect cancers as early as possible.
I work with the Data Science team at JPL to do machine learning for early detection of cancer, and to help build datasets for that purpose. I also do methodology transfer applying techniques from astronomy to medical data to understand the patterns therein.
Molecular and Cellular Lesions (MCL) or actually the mouthful Consortium for Molecular and Cellular Characterization of Screen-Detected Lesions (MCL) is made of teams studying tumor tissue, cell, and microenvironment components to distinguish screen-detected early lesions from interval and symptom-detected cancers.
There is a lot of overlap of my EDRN work, and involves doing machine learning and dataset building for somewhat related aspects.