Accelerating genomics analysis makes way for creating larger, high-quality datasets in genomics. A newly announced population genome program by Abu Dhabi’s Department of Health is using the Group 42 Artemis supercomputer powered by NVIDIA DGX™ systems and NVIDIA Clara Parabricks to build a representative reference genome specific to UAE citizens and incorporate genomics analysis into a comprehensive program for improved clinical care. To make it easier for users to benefit from NVIDIA Clara Parabricks acceleration on the cloud, NVIDIA is partnering with the DNAnexus enterprise genomics cloud platform to seamlessly provision, run, and return results.
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New AI Models to Help Detect COVID-19
Providing researchers an additional tool in the battle against COVID-19, NVIDIA released a set of AI models that can help researchers detect and study infected patients through chest CT scan data.
The models are immediately available in the latest release of Clara Imaging on the NGC™ software hub.
Jointly developed by NVIDIA’s applied research team and clinicians and data scientists at the NIH through a cooperative research and development agreement, the models used data from locations with high rates of COVID-19 infections, including China, Italy, Japan and the United States.
The AI models were built using the NVIDIA Clara application framework for medical imaging. NVIDIA Clara contains domain-specific AI training and deployment workflow tools that allowed NVIDIA and NIH to develop the models in under three weeks.
Building robust AI models is a global priority but sharing data is still challenging across global borders. Now underway is a new multinational COVID-19 federated learning initiative led by NVIDIA and Mass General Brigham to expand COVID-19 AI models to x-ray imaging that enables local adaptation without sharing any patient data and protecting patient privacy.
NVIDIA Clara Guardian Helps Hospitals on the Frontline
The new NVIDIA Clara Guardian application framework enables a critically needed ecosystem of AI solutions for hospital public safety and patient monitoring by transforming everyday sensors into smart sensors. Critical use cases include automated body temperature screening, protective masks detection, safe social distancing, and remote patient monitoring.
Partners across the ecosystem are using pre-trained models and transfer learning to develop and deploy AI applications that fuse vision, speech, and natural language processing.
