AWS Public Sector Blog
Tag: AWS CodeBuild
Building a secure and low-code bioinformatics workbench on AWS HealthOmics
Singapore General Hospital (SGH), SingHealth Office of Academic Informatics (OAI), and Amazon Web Services (AWS) collaborated to develop a cost-effective, scalable cloud infrastructure that enables researchers to perform their own analyses on a centrally secured and compliant cloud platform. AWS HealthOmics offers a suite of services that help bioinformaticians, researchers, and scientists to store, query, analyze, and generate insights from genomic and other biological data. Read this post to learn more about the three primary components of HealthOmics used in the solution.
UNSW students build a world record-holding solar electric race car with AWS
The undergraduate students from the University of New South Wales (UNSW) didn’t just build a race car from scratch—they built a world-record-holding solar electric race car: the Sunswift 7. In three years, they engineered everything from the aerodynamic design to the software used to run the car. After going live with their telemetry system on AWS, the racing team set a new Guinness World Record for the World’s Fastest Electric Vehicle going over 1,000km (621 miles) on a single charge.
Building a resilient and scalable clinical genomics analysis pipeline with AWS
At the Baylor College of Medicine Human Genome Sequencing Center (BCM HGSC), we aim to advance precision medicine and research in genomics. In that effort, we joined the ambitious All of Us Research Program funded by the National Institutes of Health (NIH) to help deliver genomic data to over one million individuals across the United States. In early 2019, we estimated that processing whole genome samples for this megaproject would imply a scale-up of over four times the production workload of our center. We used AWS to support our new pipeline demands, which saved time, reduced costs, and created new opportunities for future development.
Canada’s Federal Geospatial Platform supports decision-making using AWS
Data has become a new global currency in the digital age, thus the capacity to turn it into useful information is becoming increasingly important. Geospatial data is collected and used by the Canadian government to support goals such as economic growth, environmental management, and social well-being.
NHS Digital launches NHS login with AWS
NHS Digital launched NHS login, a serverless identity platform to facilitate access to a range of health and care apps for residents in England, with AWS, amongst other suppliers. Using the AWS Cloud, NHS Digital achieves scale, high availability, and security for citizens accessing these services, and helps users access NHS services quicker and more simply. NHS login is one of a number of services NHS Digital are hosting on the cloud as part of the UK government’s ‘Cloud First’ policy.
One small team created a cloud-based predictive modeling solution to improve healthcare services in the UK
How do you predict and prepare for your citizens’ health and wellness needs during the COVID-19 pandemic? Healthier Lancashire and South Cumbria Integrated Care System (ICS) quickly scaled a platform on AWS to support the 1.8 million people in their region with Nexus Intelligence, an interactive health intelligence application with a suite of predictive models against various measures of need and health outcomes. Nexus Intelligence not only supported the ICS response to the pandemic, but is expected to help reconfigure and re-invest in services to improve the health and well-being of the population and reduce health inequalities.
Cleerly uses AI-driven heart imaging technology to help save lives with AWS
Cleerly is a digital health company innovating a new standard for coronary artery disease by going beyond the traditional methods of diagnosing heart disease. Using artificial intelligence and the AWS Cloud, Cleerly turns non-invasive, comprehensive quantification and characterization of atherosclerosis (plaque) building in arteries into actionable insights for clinicians before major heart attack symptoms emerge.
Modern data engineering in higher ed: Doing DataOps atop a data lake on AWS
Modern data engineering covers several key components of building a modern data lake. Most databases and data warehouses, to an extent, do not lend themselves well to a DevOps model. DataOps grew out of frustrations trying to build a scalable, reusable data pipeline in an automated fashion. DataOps was founded on applying DevOps principles on top of data lakes to help build automated solutions in a more agile manner. With DataOps, users apply principles of data processing on the data lake to curate and collect the transformed data for downstream processing. One reason that DevOps was hard on databases was because testing was hard to automate on such systems. At California State University Chancellors Office (CSUCO), we took a different approach by residing most of our logic with a programming framework that allows us to build a testable platform. Learn how to apply DataOps in ten steps.
Virtual exchange is transforming the global classroom
Each year, millions of students travel abroad to study and enrich their personal development and global perspective through international student exchange programs. Virtual exchange is becoming an important part of digital learning environments due to its student-centered, cost-effective, and equitable means of advancing international education. One example is
ImmerseU, a virtual exchange learning platform developed by Class2Class, an AWS EdStart Member.