NVIDIA Healthcare has introduced a groundbreaking catalogue of more than two dozen AI microservices aimed at revolutionizing drug discovery, medical technology (MedTech), and digital health.
These microservices, powered by NVIDIA NIMâ„¢ AI models and GPU-accelerated workflows, are poised to revolutionize healthcare enterprises globally by leveraging the latest breakthroughs in generative AI. Read Here official Release
The suite includes NVIDIA NIMâ„¢ AI models encompassing a wide range of functionalities, including advanced imaging, natural language processing, speech recognition, and digital biology generation and simulation.
The microservices are customizable building blocks equipped with industry-standard APIs, enabling the creation and deployment of cloud-native applications tailored to the specific needs of healthcare professionals.
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Moreover, NVIDIA’s accelerated software development kits and tools, such as Parabricks®, MONAI, NeMoâ„¢, Riva, and Metropolis, are now available as NVIDIA CUDA-Xâ„¢ microservices. The tools are instrumental in accelerating workflows related to drug discovery, medical imaging, and genomics analysis, driving innovation and efficiency in healthcare operations.
NVIDIA’s partnerships with leading healthcare companies and platforms, including Cadence and Hippocratic AI, underscore the transformative impact of these microservices. The collaborations aim to enhance molecular design capabilities, streamline drug discovery processes, and improve patient-clinician interactions through AI-guided healthcare agents and clinical conversation platforms.
As NVIDIA continues to drive innovation in healthcare AI, with the availability of NVIDIA’s AI microservices, developers, researchers, and practitioners can seamlessly integrate AI into their workflows and applications, facilitating breakthroughs in drug discovery, disease detection, and patient care.
The microservices can be accessed and deployed across various cloud platforms and NVIDIA-certified systems, empowering healthcare organizations to leverage the full power of generative AI to advance medical science and improve patient outcomes.
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