NVIDIA Clara Description
Clara's domain specific tools, AI pretrained models, accelerated applications, and accelerated AI applications are enabling AI advances in many fields, including medical device, imaging, drug discovery and genomics. Holoscan allows you to explore the entire pipeline of medical device deployment and development. With the NVIDIA IGX Developer Kits, you can build containerized AI apps using the Holoscan SDK. The NVIDIA IGX SDK includes pre-trained AI model, healthcare-specific acceleration libraries and reference applications for medical devices.
NVIDIA Clara Alternatives
Genomenon
To drive precision medicine programs that work, pharmaceutical companies require comprehensive genomic information. However, decisions are often made with only 10% of the data available. Genomenon provides 100% of the data. ProdigyTM Patient Landscapes are a cost-effective and efficient natural history research solution for pharmaceuticals. They enhance insights from retrospective and prospective health data to support the development rare disease therapies. Genomenon uses an AI-driven approach to deliver a thorough and expert assessment of all patients in the medical literature in a fraction time. Get a complete overview of every genomic biomarker in the medical literature. Every scientific assertion is supported with empirical evidence from medical literature. Identify all genetic drivers and determine which variants are pathogenic according ACMG clinical standards.
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Kanteron
Kanteron Platform ingested digital pathology slides, medical images, and patient data from modalities and sequencers. It then provided a complete data toolkit for all hospital network teams. Precision Medicine at the point-of-care: Pharmacogenomics is used to prevent adverse medication events. It also incorporates data sources that have drug-gene interactions that were not previously available in easily accessible formats (e.g. Tables in a PDF document) and implementing the major Pharmacogenomic Databases (like PharmGKB or DGIdb, OpenTargets ...). This allows the user to refine their query to specific gene families, types, interactions, etc. Flexible AI allows you to choose the data set that is most appropriate for your use case and then apply it to your relevant medical images.
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NVIDIA Parabricks
NVIDIA®, Parabricks®, is the only GPU accelerated suite of genomic analysis apps that delivers fast, accurate analysis of exomes and genomes for sequencing centres, clinical teams and high-throughput instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians--enabling significantly faster runtimes, workflow scalability, and lower compute costs. NVIDIA Parabricks can accelerate runtimes in a variety of hardware configurations, from FastQ to Variant Call format (VCF). This is done with NVIDIA Tensor Core GPUs. Genomic researchers will experience acceleration at every step of their analysis workflows - from alignment to sorting and variant calling. The compute time can be accelerated up to 107X when more GPUs are added.
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Recursion
We are a biotechnology company in clinical stage. We decode biology by integrating technological innovations across biology and chemistry to industrialize drug discovery. CRISPR genome editing and synthetic Biology allow for greater control over biology. Advanced robotics allows for reliable automation of complex laboratory research on an unprecedented scale. Neural network architectures allow for iterative analysis and inference from large, complex, in-house data sets. Cloud solutions increase the flexibility of high-performance computation. To build a next-generation biopharmaceutical business, we are using new technology to create virtuous learning cycles around datasets. A synchronized combination hardware, software, and data that is used to industrialize drug discovery. Redefining the traditional drug discovery process. One of the most extensive, broadest, and deepest pipelines in any technology-enabled drug company.
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Company Details
Company:
NVIDIA
Year Founded:
1993
Headquarters:
United States
Website:
developer.nvidia.com/industries/healthcare
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Product Details
Platforms
SaaS
Type of Training
Documentation
Customer Support
Online
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