REDMOND, Wash. — March 18, 2024 — Microsoft Corp. is increasing its collaboration with NVIDIA to deliver the facility of generative AI, the cloud and accelerated computing to healthcare and life sciences organizations. The collaboration will deliver collectively the worldwide scale, safety and superior computing capabilities of Microsoft Azure with NVIDIA DGX Cloud and the NVIDIA Clara suite of computing platforms, software program and providers to assist healthcare and life sciences organizations speed up innovation and enhance affected person care. Harnessing the immense energy of the cloud, cutting-edge AI and superior computing capabilities, the collaboration goals to speed up scientific analysis and drug discovery, improve medical image-based diagnostic know-how, and enhance entry to precision medication.
“Microsoft is constructing on its longstanding collaboration with NVIDIA to empower the healthcare and life sciences trade with the facility of Azure and generative AI, serving to unlock new horizons for scientific analysis, drug discovery and affected person care worldwide,” stated Peter Durlach, company vice chairman, Well being & Life Sciences, Microsoft. “By means of this collaboration, we goal to assist the trade unlock breakthroughs in healthcare, making care extra exact, accessible and efficient to ship a significant distinction within the lives of sufferers globally.”
“The convergence of AI, cloud computing and healthcare is ready to rework affected person care,” stated Kimberly Powell, vice chairman of healthcare, NVIDIA. “Our collaboration with Microsoft will assist unlock new prospects and drive significant affect for sufferers worldwide.”
The expanded collaboration will prolong alternatives for healthcare suppliers, pharmaceutical and biotechnology corporations, and medical gadget builders to innovate quickly throughout scientific analysis, drug discovery and care supply with improved effectivity and effectiveness.
Quicker drug discovery with NVIDIA BioNeMo on NVIDIA DGX Cloud, hosted on Microsoft Azure
Hosted on NVIDIA DGX Cloud on Azure, NVIDIA BioNeMo provides the quickest path to AI mannequin improvement and deployment, accelerating the journey to AI-powered drug discovery. BioNeMo is a generative AI platform for drug discovery that simplifies and accelerates the coaching of fashions on proprietary information and scales the deployment of fashions for drug discovery functions. By analyzing huge datasets with unprecedented velocity and precision, it might probably assist scientists establish potential drug candidates extra effectively. The implications are profound: quicker entry to lifesaving therapies for sufferers worldwide.
Enhancing scientific analysis and care supply with imaging-based AI diagnostic know-how leveraging Microsoft Azure, NVIDIA MONAI and the Nuance Precision Imaging Community
The mix of the facility of Azure, NVIDIA MONAI (Medical Open Community for AI), and the Nuance Precision Imaging Community (PIN) allows protected and efficient improvement, validation, deployment and analysis of medical imaging AI fashions at scale. With the mixed providing, builders can construct extremely performant medical imaging AI fashions, healthcare suppliers can deploy a single PIN platform for working a wide selection of third-party AI fashions built-in into scientific workflows, and scientific researchers can speed up drug discovery. For instance, Mass Common Brigham AI leveraged MONAI and PIN within the aftermath of COVID-19 to help a federated method to construct fashions able to assessing lung perform and predicting oxygen necessities for symptomatic sufferers.
Moreover, Flywheel is offering a extremely optimized imaging information administration software for information scientists, built-in with MONAI and constructed on Azure AI, that considerably improves the best way medical imaging information are curated and enormously reduces the time wanted for analysis information preparation and medical AI mannequin coaching.
Flywheel, NVIDIA and researchers on the College of Wisconsin Faculty of Medication and Public Well being are additionally working collectively to revolutionize medical imaging analysis by way of AI know-how. The collaboration combines the medical analysis insights of the UW–Madison staff, Flywheel’s imaging information platform and NVIDIA MONAI microservices, powered by Azure, to allow automated anatomical research classifications. The initiative has the potential to revolutionize medical imaging curation and enormously scale back the time wanted for analysis information preparation, representing a major leap towards enabling AI-driven medical breakthroughs.
“Our staff on the UW Faculty of Medication and Public Well being is targeted on making use of superior know-how to spice up our analysis efforts and make it simpler for our research groups to entry large-scale datasets,” stated John Garrett, Ph.D., assistant professor of radiology and medical physics and director of imaging informatics at UW–Madison. “By means of this initiative, we’re capable of harness superior strategies and reap the benefits of Flywheel and NVIDIA’s platforms and instruments to scale our information curation course of, permitting us to spend extra time on analysis tasks and coaching AI fashions.”
Accelerating genomics evaluation with the SOPHiA DDMTM Platform on Azure powered by NVIDIA Parabricks
Microsoft, NVIDIA and SOPHiA GENETICS are collaborating to leverage mixed experience in know-how and genomics to develop a streamlined, scalable and complete whole-genome analytical resolution. As a part of this collaboration, the SOPHiA DDM Software program-as-a-Service platform, hosted on Azure, will probably be powered by NVIDIA Parabricks for SOPHiA DDM’s entire genome software. Parabricks is a scalable genomics evaluation software program suite that leverages full-stack accelerated computing to course of entire genomes in minutes. Suitable with all main sequencing devices, Parabricks helps numerous bioinformatics workflows and integrates AI for accuracy and customization. SOPHiA GENETICS may even use highly effective NVIDIA GPUs on Azure to course of computationally heavy workloads, offering a scalable and environment friendly resolution.
“At SOPHiA GENETICS, we provide a common cloud-based platform — the SOPHiA DDM
Azure AI: Democratizing AI for healthcare professionals
Microsoft is collaborating with NVIDIA to make a future suite of NVIDIA healthcare microservices accessible on Azure AI for optimized inference and fine-tuning. As soon as accessible, researchers, clinicians and builders can discover these state-of-the-art fashions and deploy them as endpoints within the Azure AI Mannequin Catalog. Azure AI democratizes AI adoption for customers in healthcare, from radiologists fine-tuning an AI algorithm to geneticists deciphering advanced variants, whereas driving innovation and redefining affected person care by way of collaboration throughout disciplines.
Microsoft goals to propel healthcare and life sciences into an thrilling new period of drugs, serving to unlock transformative prospects for sufferers worldwide. The mix of the worldwide scale, safety and superior computing capabilities of Microsoft Azure with NVIDIA DGX Cloud and the NVIDIA Clara suite is ready to speed up advances in scientific analysis, drug discovery and care supply.
Microsoft (Nasdaq “MSFT” @microsoft) allows digital transformation for the period of an clever cloud and an clever edge. Its mission is to empower each particular person and each group on the planet to attain extra.
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