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On January 8, DeepCell, a pioneer in AI-driven single-cell analysis, announced a research collaboration with NVIDIA to accelerate the development and adoption of advanced computer vision solutions in the life sciences.
Already using NVIDIA A4000 and NVIDIA AI technology, Deepcell will incorporate NVIDIA AI into its single-cell analysis technology, partnering with NVIDIA to develop new uses for generative AI and multimodal applications in cell biology.
This joint collaboration aims to advance the understanding of cell morphology and ultimately accelerate the broad application of AI-driven cell analysis in cell biology and translational research, including cancer, stem cells, and cells**.
Multimodal generative AI has many potential applications in the life sciences. However, the development and successful deployment of such tools requires domain-specific expertise, as well as innovation in the underlying AI model to consider the details of life science applications. Deepcell, in partnership with NVIDIA, is uniquely positioned to leverage its technology to deliver AI models that best leverage state-of-the-art architectures and algorithms, as well as multimodal and multi-omics datasets, to enhance the generation of novel biological insights.
Dr. Mahyar Salek, Co-Founder, President and CTO of Deepcell, said:
DeepCell advances the field of morphomics and demonstrates the benefits of a revolutionary new approach to single-cell analysis using brightfield cell imaging and AI. Looking to the future, we see many possibilities for incorporating multimodality and biointelligence into our platform and leveraging our proprietary database of billions of cell images to train other AI models. "Our relationship with NVIDIA will help us accelerate these enhancements and bring these advancements to our customers to make new discoveries faster than ever before." 」Through this collaboration, Deepcell plans to apply NVIDIA's computing expertise and the NVIDIA CLARA suite to co-develop novel algorithms for cell image analysis. NVIDIA Clara includes computing platforms, software, and services that power AI solutions in healthcare and life sciences, from medical imaging and instrumentation to genomics and drug discovery.
This work will advance the use of cell-based imaging through tools such as the DeepCell REM-I platform to facilitate the discovery of morphomics and its application in the life sciences.
George Vakek, head of the NVIDIA Genomics Alliance, said
Generative AI is revolutionizing many health-related disciplines, from basic life science research that informs drug discovery to diagnosing medical conditions at the patient's bedside. This collaboration will accelerate the development and adoption of biointelligence tools for cell analysis, helping to drive future discoveries and their applications in translational research. 」DeepCell announced the launch of the REM-I platform last year and will fully commercialize instruments, software, and AI models in 2024. The REM-I platform is a high-dimensional cell morphology analysis and sorting platform that integrates single-cell imaging, sorting, and analysis. High-dimensional analysis provides new discovery methods for a wide range of fields such as cancer biology, developmental biology, stem cell biology, genetics**, and functional screening.
About DeepCell
DeepCell is a life sciences company that has introduced AI to cell biology, opening up a new field of high-dimensional biodiscovery called morphomics. Through DeepCell's REM-I platform, an AI imaging and microfluidic solution, the company is harnessing cell morphology for limitless discoveries, enabling a new scale of cell biology research and single-cell analysis.
Deepcell's platform leverages its AI model, the human basal model, to identify and classify cells based on morphological differences, helping to advance basic and translational research and providing future applications in diagnostic tests and targeting. The company, which was spun off from Stanford University in 2017, has raised nearly $100 million in venture capital.
Deepcell's official website: wwwdeepcell.com
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