Technology is advancing so fast, and we have moved to the usage of GPU clouds to fulfil our needs of fast processing computers accessing large-sized data. In this article, we will discuss one of the containers of the NVIDIA NGC GPU Cloud that has benefitted the healthcare industry. Let us explore more about that in this article. Also, we will talk about the organisation offering cloud deployment services for your business. Many organisations offer cloud deployment services, and E2E is one of them. Let us get started.
About NVIDIA NGC
NGC Catalog is a set of GPU-optimized software used in HPC AI and Visualizations. It consists of pre-trained models, containers, industry-specific toolkits for AI, Helm Charts used to deploy Kubernetes, and software development kits.
NVIDIA and Third-party ISVs provide content for simplification of building, integration, and customisation of GPU-optimized software to accelerate the time taken for building solutions.
The container is a collection of libraries, software applications, runtime compilers, and dependencies in a self-contained environment to ease the deployment across different computing environments. It eradicates the requirement to build complex and ease out the development process to deploy an application. Hence they enable portability so that users can run, pull, and scale the different applications across data scientists, edge, and cloud. The NGC catalog entertains a variety of containers consisting of machine learning, Deep Learning frameworks, visualisation application, and HPC to maximise the usage of GPU environments.
What is a Body Maker Phenobody Container?
DDH is a health company that specialises in performing medical image analysis. It has created a platform that can automate and thus simplify the pipelining of images. Many deep learning models have been integrated into a mesh-network architecture that facilitates the evaluation of the complete body providing the functional and structural information. PhenoMx technology has transformed global healthcare delivery by strengthening the full potential of MRI. The technology can monitor the regional, whole-body, or organ-specific phenotypic changes occurring in an individual body over time. MRI is a no radiation modality enabling the evaluation of the whole body to get the overall health status.
The body marker of Phenobody is a solution that serves the digital-physical examination, using quantitative tissue analysis using the AI-based processing and full-body scan for 15 to 20 minutes, one can obtain the estimate of the body composition. It helps in understanding the individual need for exercise and nutrition on one side and figuring out the health risks, such as cardiac disease, metabolic disease, diabetes, etc. The solution also facilitates accessing primary health care that involves health tracking and wellness screening. This analysis can be used for the entire population. Using Body Marker or Phenobody solution, one can detect 95% of the health issues in early-stage and get treated by an integrated approach.
NVIDIA has provided the way to download the SDK, which is Python-based and contains the below components:
- AI training framework
- Annotation server
- Clara render server to visualise 2D and 3D medical data
- MMAR model applications enable the building and training of medical research models
- CT organ segmentation
This system has models for the identification of X-ray classification and liver, lung, or brain tumors.
Overall, Body marker or Phenobody container in NVIDIA GPU Cloud has benefitted the health industry in making the person aware of any upcoming health risk. Moreover, the use of GPU accelerated the functioning. You can also deploy the GPU Cloud by using the services of E2E Cloud. E2E Cloud is the easy-to-use self-service cloud platform for your server-side applications requiring high performance. They are among India's fastest-growing SSD cloud players. You can contact them for all your cloud-related needs.
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