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The Biomedical Research Platform Powered by HPE GreenLake Cloud Services
Contributors:
Oded Shihor is the worldwide strategist for HPE GreenLake cloud services solutions group. He is responsible for healthcare solutions and is developing the market requirements for this vertical. Oded is driving innovation & ideation for HPE's consumption-based model portfolio to enable enterprises on their digital transformation journey.
Mark Heuser leads the global partner ecosystem development for datacenter in healthcare and life sciences at NVIDIA. Heโs responsible for driving a collaborative strategy with partners to bring AI to life in Healthcare through leveraging the NVIDIA Clara framework and strategic ISV relationships.
The Biomedical Research Platform Powered by HPE GreenLake Cloud Services
Leveraging data and AI to achieve scientific discoveries is challenging. Data scientists can spend up to 80% of their time collecting, prepping, and accessing data.
In biomedical research, these lengthy and time-consuming processes can negatively affect clinical study timelines, the quality of collaboration between experts, and in some cases, patient outcomes.
Weโre changing that.
At HPE, we understand there are challenges as HLS (healthcare and life-sciences) organizations transform to a hybrid world. Legacy infrastructure, complex operations, security risks, and inefficiencies all become barriers to extracting value from your data.
Biomedical researchers in life sciences, clinical, and academic institutions need access to store and structure significant amounts of diverse, real-world data to develop algorithms and accelerate discovery.
That's why weโre excited to announce a new HPE GreenLake cloud solution for Flywheel, in collaboration with NVIDIA. This new solution builds upon our extensive HLS portfolio that includes solutions for managing electronic health records platforms at health systems and managed infrastructure offerings aligned with different PACS Platforms.
Unlocking the full potential of medical research
Flywheel helps orchestrate and scale computation, analysis, and machine learning (ML) workflows. It provides an end-to-end research solution with all the tools needed for automated curation, image processing, and secure collaboration, so that researchers can focus on advancing medical discoveries.
Current โhomegrownโ data management systems donโt allow for easy and secure data, image, or report sharing. This limits collaboration between experts with valuable insights and experience and may add roadblocks to a clinical studyโs timeline. To enable faster insights, Flywheel allows easier data sharing with outside organizations. Flywheel also supports compliance with the new 2023 NIH data sharing mandates, allowing researchers to collaborate while ensuring data privacy.
Recently, researchers used Flywheel to create a data repository of over 3,000 patients with Traumatic Brain Injuries. Using this โinformation commons,โ medical professionals can develop precision medicine treatments for patients with Traumatic Brain Injuries and find solutions to better manage their long-term symptoms.
Propelling medical research with HPE and NVIDIA
HLS businesses have been hesitant to utilize the cloud because of concerns about extra costs for data retrieval, data sovereignty, and security. The new HPE GreenLake cloud solution not only addresses these concerns, but provides an automated, flexible, on-prem private cloud that you can use to run, support, and develop any of your clinical and biomedical apps.
Weโve made it simple to create your private cloud, as you use familiar hypervisor and container technologies to leverage your data. It is delivered as a service, with predictable costs and no upfront payment: You pay only for what you use. The HPE GreenLake for Flywheel solution is a comprehensive solution, packaged as a single purchase.
The HPE GreenLake platform is delivered as a full enterprise service with SLAs: We cover the full life cycle, including installation, provisioning, firmware updates, maintenance, operations, hardware, growth planning and support. HPE experts maintain all the needed infrastructure to run Flywheelโs software, freeing organizations from from the burden of day-to-day IT tasks while still experiencing full cloud benefits.
The HPE GreenLake for Flywheel solution is powered by NVIDIA GPUs to deliver a robust ML AI platform. More sophisticated use-cases that improve training accuracy such as federated learning are also enabled by NVIDIA FLARE (Federated Learning Application Runtime Environment) and HPE Swarm Learning which can be used for AI applications in medical imaging, genetic analysis, oncology, and COVID-19 research.
So, who is the HPE GreenLake for Flywheel solution for?
Life-sciences researchers that would like to accelerate innovation with data-driven R&D strategy | Streamline workflows, collaborate efficiently and shorten clinical trial timelines |
Clinical researchers who need not only a data repository, but also require scalable data management and workflow solutions | Securely access, process, analyze and collaborate on your data |
Academic researchers that wish to collaborate in an easier manner | Capture, curate, and compute imaging and associated biomedical data for research |
AI developers at medical AI companies who need to meet R&D objectives and accelerate regulatory submissions | Scalable cloud service for discovering and managing imaging data |
With the HPE GreenLake solution for Flywheel, thereโs no need to spend 80% of your time managing and curating data. Our ultimate biomedical data research platform gives you the power to perform your research in high gear.
Find us at the RSNA 2022 annual meeting.
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