NVIDIA this week announced a new partnership with the Broad Institute of Harvard and MIT to provide power for the institute’s Terra cloud platform and the more than 25,000 people using the platform Life science researchers bring advanced analytical tools.
Why is it important
This open platform connects NVIDIA’s computing and artificial intelligence tools with Broad Institute scientists to help advance biomedical research, genomics and other precision medicine innovations. The aim is to help academic researchers — as well as startups and big pharma — gain AI-enabled computing power to mine vast amounts of medical data.
The initial focus will be on several key areas, starting with Parabricks, a GPU-accelerated software for secondary analysis of sequencing data, according to the company kit. NVIDIA says it will offer it in six new Terra workflows, enabling researchers to analyze entire genomes in just over an hour, compared with 24 hours in a CPU-based environment. This in turn can significantly reduce computational costs.
Another focus will be on building large language models to help researchers develop fundamental models of DNA and RNA to better understand human biology. They can use NVIDIA’s BioNeMo technology, a just-launched AI application framework designed for LLM.
NVIDIA is also developing a new deep learning model for the Broad Institute’s Genome Analysis Toolkit, which is used by more than 100,000 researchers. It can help discover and identify genetic variants associated with disease, advancing drug discovery research and the development of new treatments.
Broad Institute researchers will also have access to MONAI, a medical imaging-focused deep learning framework, and NVIDIA RAPIDS, a toolkit that provides Genomic single-cell analysis provides faster data preparation.
THE MASSIVE TREND
The Broad Institute is committed to innovative biomedicine and precision medicine, building its open cloud platform to connect researchers with each other and provide them with datasets and powerful artificial intelligence tools to analyze Genomic and other life science data for scientific breakthroughs. Nvidia. For example, in 2021, it launched new collaborations with Microsoft and Verily to accelerate new advances in biomedicine through the Terra platform.
The joint research enterprise has also generously carried out its own technological innovation. In 2017, the Broad Institute open-sourced its GATK genome analysis software so that it can be used by more scientific researchers.
“Better computing tools are needed across the healthcare ecosystem to enable breakthroughs in the way we understand disease, develop diagnostics and deliver treatments,” Kimberly Powell, vice president of healthcare at NVIDIA, said in a statement.
“By expanding our collaboration with the Broad Institute, we can bring large-scale language models to ultimately provide joint solutions and bridge the gap between researchers’ insights and actual patient benefit. “
“The life sciences are in the midst of a data revolution, and researchers desperately need a new way to bring machine learning to biomedicine,” added Anthony Philippakis, Chief Data Scientist, Broad Institute road. “In this collaboration, we aim to expand our mission of data sharing and collaborative processes to scale up genomics research.”
Email the author: mike.miliard@ himssmedia.com
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