Azure high-performance computing for health and life sciences
Accelerate insights in genomic analysis, precision medicine, medical imaging, and clinical trials with near-infinite high-performance bioinformatics infrastructure.
Gain deeper insights from medical data by deploying analytics and machine learning tools on top of clinical trial simulation data.
Health and life sciences HPC scenarios
Overcome the challenges of scale, collaboration, and compliance—while minimizing cost and complexity—by using Azure for genomic analysis and computation. Take advantage of industry-leading privacy, local compliance, and performance capabilities.
Increase the accuracy of mathematical formulas used in simulated atom and particle movement analysis with vast compute resources from Azure—the first public cloud to scale a molecular dynamics code, CP2K, to 20,000 cores.
Proteomics scientists use Azure to do the heavy lifting of sharing peptide data.Watch now
Clinical trial simulation
Improve the efficiency of drug development process with power and scale for computationally intensive stochastic modeling and simulation workloads, such as population pharmacokinetic and pharmacokinetic-pharmacodynamic modeling.
Gain deeper insights from all of your medical imaging data with big data analytics and machine learning capabilities from Azure.
Powerful infrastructure as a service (IaaS) for health and life sciences
- Create, manage, operate, and optimize high-performance computing (HPC) and big compute clusters using tools of your choice, such as Platform Load Sharing Facility (LSF), with Azure CycleCloud.
- Run large-scale, perfectly parallel batch jobs efficiently with cloud-scale job and scheduling management service Azure Batch.
- Encapsulate your processes and run containers to elastically provision additional compute capacity for your genomics analysis applications with Azure Kubernetes Service (AKS).
- Optimize your application workflows to benefit from both on and off premises storage resources without rearchitecting applications requiring file access with Azure HPC Cache.
- Get deeper insights from your clinical trial simulation data, build intelligent solutions, spin up clusters, and build quickly in a fully managed, global-scale Apache Spark environment with Azure Databricks.
- Take advantage of scalable, cost-effective, and HDFS-compatible storage that's optimized for big data workloads with Azure Data Lake Storage.
In response to COVID-19, Microsoft is working to protect the health and well-being of the communities we serve by providing technology platforms and services that eliminate barriers to organizations doing their best work.
Learn how life sciences customers are innovating with Azure HPC
Dr. Benjamin Haibe-Kains, Senior Scientist, Princess Margaret Cancer Centre, University Health Network
"When we wanted to scale up our research and attack those problems with much more sophisticated tools, we were looking for trusted partners and that's where we got in touch with Microsoft, who not only provided the technologies to enable our research but also the level of support that we needed."
Dr. Sohrab Shah, Senior Scientist, BC Cancer
"Our project simply would not be possible without the Microsoft partnership, and I think that the cloud computing infrastructure, Microsoft Azure's platform, has allowed us to make progress at a rate that we wouldn't have been able to do otherwise, and so it's been an essential component of our research progress."
Andy Lee, Cofounder and Chief Technology Officer, NeuroInitiative
"In Azure, we're 15 minutes from wanting new nodes to expanding the cluster to run larger simulations—and then paring them down when we're done."
Anthony Finbow, Chief Executive Officer, Eagle Genomics
"When it comes to AI, we don't want to reinvent the wheel. We harness Microsoft Azure AI research and technologies, Microsoft Cognitive Services, and Microsoft Cognitive Toolkit to develop our platform. We don't believe that small-scale startups will be the companies that define AI at the foundational level. It's the big innovators like Microsoft that will clear the AI path for small companies like Eagle Genomics to follow."
Dr. Robert Klein, Klein Lab, Icahn School of Medicine at Mount Sinai
"I give [the Microsoft Genomics service] the input data that would come from the sequencers. It can uniformly realign everything and let me do the variant calling for the analysis I want."