From NVIDIA: 2024-10-08 11:15:00

The U.S. healthcare system is integrating digital health agents powered by AI, as showcased at the NVIDIA AI Summit in Washington, D.C. Technologies like NVIDIA NIM and NIM Agent Blueprints are enhancing medical imaging analysis, drug discovery, and data extraction from PDF databases in the public sector.

Researchers at institutions like the NIH are leveraging AI models like VISTA-3D NIM to segment CT images, while NIM Agent Blueprints are being used for generative virtual screening in drug development. These tools offer pretrained models that can be customized and refined based on user feedback for faster research acceleration.

NIM microservices and Agent Blueprints are available on ai.nvidia.com, offering developers free access to tools like generative virtual screening for drug discovery and PDF data extraction. New NIM microservices facilitate the prediction of protein structures and the design of novel drug candidates to streamline preclinical research efforts.

NCATS researchers are utilizing NIM Agent Blueprints for virtual screening, utilizing GPU-accelerated software libraries like RAPIDS to expedite drug discovery. By harnessing NVIDIA AI, processes that used to take hours are now completed in seconds, enhancing efficiency in analyzing vast amounts of healthcare data for research purposes.

Digital health startups and global integrators are incorporating NVIDIA NIM microservices and Agent Blueprints, like those from AWS HealthOmics, to streamline biological data analyses in healthcare. Companies like ConcertAI are integrating NIM into AI solutions for oncology research and clinical applications to elevate patient care standards.

Deloitte is offering the NIM Agent Blueprint for virtual screening to clients worldwide to accelerate AI adoption in drug discovery. NVIDIA’s collaboration with AWS through the STRIDES Initiative is making NIM Agent Blueprints more accessible to the biomedical research community for advancing healthcare innovation.

NVIDIA AI Summit is showcasing over 50 sessions on impactful work in the public sector, with a focus on healthcare innovation. Sessions cover topics like AI leadership in U.S. government health, AI-enabled healthcare and biology advancements, accelerated computing for genomics research, and specialized models for medical imaging segmentation.



Read more at NVIDIA: US Healthcare System Deploys AI Agents