Medical Application Development and Deployment

The chapter explores the journey of developing applications in the medical sector, emphasizing the transition from development to production phases and the use of containers like Docker and Kubernetes. They discuss infrastructure decisions regarding cloud services, setting up hardware onsite, and collaborating with IaaS teams for Kubernetes infrastructure deployment. The conversation also covers the utilization of open source tools in genomics bioinformatics, detecting copy number variations in cancer cells through Python-based packages, and translating genetic variants for accurate patient reports using the AGVS Python package.