Samara Sharmeen
Samara Sharmeen is a resident neurosurgeon working in Berlin, and a PhD candidate at the RWTH Aachen University. Her current research is on prognostic clinical outcome and 3D-CT volumetric planning before conventional complex two-stage haepatectomy versus Associating Liver Partition and Portal vein Ligation for Staged haepatectomy – ALPPS. Samara is interested in use of emerging technologies to aid clinical decision making. She has been collaborating in digital health projects since 2019, attending PyCon and PyConJP, and continues to create awareness of Python to her clinical peers. Furthermore, Samara has worked at Apple Inc. for over 5 years as a Product Specialist.
Session
We introduce a novel design approach to design, develop, deploy, and maintain AI/ML tools. This real-world research case study in the healthcare domain, to solve societal issues, can provide actionable methodology for any DevOps task using Python. The presented design methods demonstrate how Python is used in all stages of research with data collected from 60 million patients in United Kingdom.