Health and beauty

Cloud to support healthcare: Aws for Health debuts – CorCom

Covid-19 highlighted the need for healthcare companies to use data more effectively to quickly discover insights. In this sector, the challenge to be overcome will be to understand how to manage the enormous volume of health information created every day and stored in different systems and in different formats: from clinical documentation to scientific data, passing through the next generation sequencing, CryoEM, research reports and medical images. Additionally, new approaches to therapy development, such as decentralized clinical trials, increased pressure to get drugs to market quickly, and new types of treatments, such as mRNA vaccines, require insights, not just data.

In this scenario Amazon Web Services ha introdotto Aws for Health, an initiative that offers cloud services created specifically for healthcare organizations with the aim of solving the various challenges of this sector, such as healthcare interoperability to speed up diagnosis, streamlining of therapeutic discovery processes to create life-saving drugs faster and even bringing genomic analysis to the point of care for precision medicine, all in a compliant and safe way.

“The pandemic has posed a multitude of challenges and required personalized and more patient-centered care throughout the healthcare sector,” he explains. Paola Persico Head of Healthcare, Italy, Amazon Web Services – AWS can take this trend even further: With new AWS services like AWS Private 5G and advanced machine learning features like Amazon SageMaker Canvas, healthcare and life science organizations can transform the healthcare industry and improve patient health.

For example, during the pandemic, Rush University Medical Center partnered with AWS to create a cloud-based analytics hub using AWS for Health services, such as Amazon HealthLake. This hub allows them to securely analyze patient admissions, discharges and hospital capacity via real-time updated dashboards to provide care for the most critically ill patients. Rush University Medical Center is now using what it has learned to provide personalized care for people in need and improve health equity. Thanks to API HealthLake, it was possible to identify and fill gaps in health care with predictive models of the social determinants of health on Chicago’s West Side.

“A great innovation was also the collaboration between AWS and life sciences organizations to bring vaccines and therapies to market more quickly – continues Persico – With the movement towards more personalized therapies and the adoption of data-intensive practices such as cryoEM and genomics, pharmaceutical organizations are leveraging AWS for Health to unify, analyze and archive the growing volume of data. And they are continuing this path of innovation by leveraging AWS new machine learning capabilities to optimize drug discovery and scale production “.

Moderna, for example, is leading the way in developing a new generation of drugs using messenger RNA for vaccines and personalized cancer therapies. Moderna runs its Drug Design Studio on AWS scalable compute and storage infrastructure to rapidly design mRNA sequences and uses machine learning to optimize those sequences and bring them to production faster. This allowed the first clinical batch of the Covid-19 vaccine candidate to be delivered to the National Institutes of Health for the Phase-1 study only 42 days after the initial sequencing of the virus.

“Moderna uses AWS to power its highly automated production plant – points out the manager – In order to rapidly scale and manage vaccine production, they upgraded to Sap Hana S4 solution on AWS, moving from concept to distribution in only 3 and a half months. Thanks to the linking of production tools, robotics and the implementation of critical systems, it has been possible to increase the production potential to over 1 billion vaccine doses and to supply vaccines in more than 30 countries ”.

Moderna’s speed is based on another key element in the healthcare space: genomics. But translating human genomes, which are roughly 800 megabytes in size, requires computational power that until recently took weeks, as well as thousands of dollars. But, when trying to diagnose a patient, every second matters, so scientists need readily implementable solutions that can provide them with answers in minutes, not weeks.

Aws partner Illumina built the Dragen Bio-IT platform on Aws EC2 F1 instances to provide large-scale access to patented accelerated genomic analysis tools on a global scale. Now, clients like the Munich Leukemia Laboratory (Mll) are using Dragen on Illumina Connected Analytics to reduce the genome processing time of a single sample from 10 hours to 30 minutes, helping them accelerate research and focus on developing better leukemia diagnostics.

“The pandemic has posed many challenges and required personalized and more patient-centered care throughout the healthcare sector – concludes Persico – AWS can take this trend even further: with new AWS services such as AWS Private 5G and advanced machine learning like Amazon SageMaker Canvas, healthcare and life sciences organizations can transform the healthcare industry and improve patient health. ”

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