Creating new drug candidates is a heroic endeavor, often taking over 10 years to bring a drug to market. New supercomputing-scale large language models (LLMs) that understand biology and chemistry text are helping scientists understand proteins, small molecules, DNA, and biomedical text. These state-of-the-art AI models help generate de novo proteins and molecules and predict the 3D…
]]>The NVIDIA BioNeMo service is now available for early access. At GTC Fall 2022, NVIDIA unveiled BioNeMo, a domain-specific framework and service for training and serving biomolecular large language models (LLMs) for chemistry and biology at supercomputing scale across billions of parameters. The BioNeMo service is domain-optimized for chemical, proteomic, and genomic applications…
]]>Many organizations are using NVIDIA Clara Parabricks for fast human genome and exome analysis for large population projects, critically ill patients, clinical workflows, and cancer genomics projects. Their work aims to accurately and quickly identify disease-causing variants, keeping pace with accelerated next-generation sequencing as well as accelerated genomic analyses. Most recently…
]]>At the Computer Vision and Pattern Recognition Conference (CVPR), NVIDIA researchers are presenting over 35 papers. This includes work on Shifted WINdows UNEt TRansformers (Swin UNETR)—the first transformer-based pretraining framework tailored for self-supervised tasks in 3D medical image analysis. The research is the first step in creating pretrained, large-scale, and self-supervised 3D models…
]]>Advances in edge computing, video cameras, real-time processing, and AI have helped transform medical devices over the years. NVIDIA developed the NVIDIA Clara Holoscan platform to support the development of software-defined AI medical devices. The latest release of the NVIDIA Clara Holoscan SDK 0.2 offers real-time AI inference capabilities and fast I/O for high-performance streaming…
]]>Bioinformaticians are constantly looking for new tools that simplify and enhance genomic analysis pipelines. With over 60 tools, NVIDIA Clara Parabricks powers accurate and accelerated genomic analysis for germline and somatic workflows in research and clinical settings. Today, we announce the release of NVIDIA Clara Parabricks 3.8, featuring: The rapid increase in sequencing data…
]]>Capturing clear diagnostic images of the heart and its vasculature is challenging in cardiac computed tomography (CT) imaging because the heart is always moving and the resulting images can be blurry. When a heart is beating quickly, at above 75 beats per minute or irregularly, good image resolution is almost impossible. Global diagnostic imaging leader Fujifilm Healthcare developed Cardio…
]]>New advances in computation make it possible for medical devices to automatically detect, measure, predict, simulate, map, and guide clinical care teams. NVIDIA Clara Holoscan, the full-stack AI computing platform for medical devices, has added new sensor front-end partners for video capture, ultrasound research, data acquisition, and connection to legacy-medical devices.
]]>The newest release of GPU-powered NVIDIA Clara Parabricks v3.7 includes updates to germline variant callers, enhanced support for RNA-Seq pipelines, and optimized workflows for gene panels. With now over 50 tools, Clara Parabricks powers accurate and accelerated genomic analysis for gene panels, exomes, and genomes for clinical and research workflows. To date…
]]>At RSNA 2021, there are dedicated tracks on ultrasound imaging, which is a cost-effective way to see what is going on inside a patient’s body without exposure to radiation or the need for injections and surgeries. Ultrasound imaging is typically done by trained sonographers and needs special expertise to interpret. The probe is a small transducer to both transmit sound waves into the body…
]]>Computational molecular design involves compute-intense calculations that require exceptional processing power. Whether working in pharmaceuticals, biotechnology, agrochemicals, or the fragrance industry, researchers are oftentimes dealing with datasets that encompass millions to billions of compounds. Until recently, this required that companies invest in expensive…
]]>When analyzing healthcare and life science data from a distance, bandwidth congestion, network reliability, and latency issues can negatively affect outcomes. This is critical when timing is so important. To address these concerns, forward-thinking healthcare organizations are adopting edge computing, in which data is analyzed and acted upon at the point of collection. AI-powered instruments…
]]>NVIDIA data scientists this week took three of the top 10 spots in a brain tumor segmentation challenge validation phase at the prestigious MICCAI 2021 medical imaging conference. Now in its tenth year, the BraTS challenge tasked applicants with submitting state-of-the-art AI models for segmenting heterogeneous brain glioblastomas sub-regions in multi-parametric magnetic resonance imaging…
]]>The release of NVIDIA Clara Parabricks v3.6 brings new applications for variant calling, annotation, filtering, and quality control to its suite of powerful genomic analysis tools. Now featuring over 33 accelerated tools for every stage of genomic analysis, NVIDIA Clara Parabricks provides GPU-accelerated bioinformatic pipelines that can scale for any workload. As genomes and exomes are…
]]>King’s College London, along with partner hospitals and university collaborators, unveiled new details today about one of the first projects on Cambridge-1, the United Kingdom’s most powerful supercomputer. The Synthetic Brain Project is focused on building deep learning models that can synthesize artificial 3D MRI images of human brains. These models can help scientists understand what a human…
]]>The Human Genome Center (HGC) at University of Tokyo announced a new genomics platform to accelerate genomic analysis by 40X compared to a CPU-based environment, utilizing NVIDIA Clara Parabricks Pipelines genomics software. The genomic analysis will run on SHIROKANE, HGC’s fastest supercomputer for life sciences in Japan, and powered by NVIDIA DGX A100. The platform will be available to users on…
]]>With the advent of new deep learning approaches based on transformer architecture, natural language processing (NLP) techniques have undergone a revolution in performance and capabilities. Cutting-edge NLP models are becoming the core of modern search engines, voice assistants, chatbots, and more. Modern NLP models can synthesize human-like text and answer questions posed in natural language.
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