How to Support Life Science Research Projects on Cloud Infrastructures
OpenInfra Foundation via YouTube
Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
AI Engineer - Learn how to integrate AI into software applications
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off your first 3 months — limited time.
Unlock All Certificates
Learn how to design and implement secure cloud infrastructure solutions for life science research projects that handle sensitive genomic and clinical trial data. Explore the technical and policy challenges of supporting cloud infrastructure projects in regulated domains, with focus on security, privacy, and compliance requirements aligned with ISO/IEC 27001 standards. Discover CINECA Supercomputing Centre's approach to creating a secure HPC cloud architecture specifically designed for processing sensitive biomedical data. Examine the shared responsibility model that defines clear boundaries between cloud provider and user responsibilities and controls. Review real-world use cases from biomedical and bioinformatics domains running on CINECA HPC Cloud infrastructure, demonstrating how secure, scalable cloud solutions enable innovation while maintaining strict data protection standards. Gain insights into encryption strategies, access control policies, and compliance frameworks essential for life science research in cloud environments.
Syllabus
How to support life science research projects on cloud infrastructures
Taught by
OpenInfra Foundation