This talk explores a solution for the analysis of medical images, with the goal of identifying subtle indicators of cancer. The solution encompasses the ingestion, analysis, annotation, and storage of medical images to facilitate the detection of cancerous cells and enable further insights. Additionally, the solution supports the development of AI diagnostic models by converting images and metadata into formats conducive to machine learning, such as embeddings.