NVIDIA Healthcare this week announced the availability of 25 new cloud-agnostic microservices to help healthcare developers make use of generative AI in their applications, anywhere and across a wide-variety of specific use cases.
WHY IT MATTERS
The new healthcare microservices include optimized AI models and workflows with application programming interfaces, designed to serve as building blocks for creating and deploying cloud-native applications.
With capabilities designed for imaging, natural language and speech recognition and digital biology generation, prediction and simulation, NVIDIA says the two-dozen new microservices can help healthcare organizations capitalize generative AI.
The goal is to help researchers, app developers and even medical practitioners more easily integrate AI into “new and existing applications and run them anywhere – from the cloud to on premises,” according to the company.
The suite includes NVIDIA NIM, which offers optimized inference for a growing collection of models across imaging, medtech, drug discovery and digital health – offering new capabilities for healthcare and life sciences innovation around generative biology, chemistry and more.
“By leveraging these advanced tools, we are not only enhancing our capabilities in medical imaging and data management but also driving unprecedented acceleration in medical research and patient care outcomes,” said Trent Norris, chief product officer at Flywheel, whose cloud platform is used by academic medical centers and biopharma companies to curate and train medical imaging data.
“With generative AI, we have the opportunity to address some of the most pressing needs of the healthcare industry. We can help mitigate widespread staffing shortages and increase access to high-quality care – all while improving outcomes for patients,” added Munjal Shah, cofounder and CEO of Hippocratic AI, which is developing genAI tools, powered by its own large language models, for low-latency inferencing and speech recognition.
THE LARGER TREND
NVIDIA says developers can experiment access the tools at ai.nvidia.com and experiment with them via service providers including Dell, HP Enterprise, Lenovo and Supermicro, and on public cloud platforms including Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure, and on NVIDIA DGX Cloud.
The company has been busy on the healthcare front in recent years – working with NYU Langone Health to predict readamissions, collaborating with Medtronic on devices and robotic surgery and enabling real-time data streaming for Singapore’s National University Health System. to name just three.
ON THE RECORD
“For the first time in history, we can represent the world of biology and chemistry in a computer, making computer-aided drug discovery possible,” said Kimberly Powell, NVIDIA’s VP of healthcare, in a statement. “By helping healthcare companies easily build and manage AI solutions we’re enabling them to harness the full power and potential of generative AI.”
Mike Miliard is executive editor of Healthcare IT News
Email the writer: mike.miliard@himssmedia.com
Healthcare IT News is a HIMSS publication.