Deepcell – a pioneer in AI-powered single-cell analysis to fuel deep biological discoveries – recently announced a research collaboration with NVIDIA to accelerate the development and adoption of advanced computer vision solutions in life sciences. And Deepcell – which already uses the NVIDIA A4000 and NVIDIA AI technology – will incorporate NVIDIA AI into its single-cell analysis technology, working collaboratively with NVIDIA to codevelop new uses for generative AI and multimodal applications in cell biology.
This collaboration aims to advance the understanding of cell morphology and accelerate AI-powered cellular analysis in cell biology and translational research across various applications, including cancer, stem cell, and cell therapy.
There are many potential applications of multimodal generative AI in life sciences. However, the development and successful deployment of such tools require domain-specific expertise and innovation to the underlying AI models to account for the particulars of the life science application. And Deepcell (in collaboration with NVIDIA) is uniquely positioned to utilize its technological strengths to provide AI models that optimally leverage state-of-the-art architectures and algorithms along with multimodal and multiomic datasets, thus enhancing the generation of novel biological insights.
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 for healthcare and life sciences, from medical imaging and instruments to genomics and drug discovery. This work will advance cell-based imaging with tools like the Deepcell REM-I platform to boost morpholomics discovery and its application across the life sciences.
Deepcell revealed the REM-I platform last year, and it will fully commercialize the instrument, software, and AI model in 2024. The REM-I platform is a high-dimensional cell morphology analysis and sorting platform that brings together single-cell imaging, sorting, and high-dimensional analysis, enabling new methods of discovery in a wide range of fields, including cancer biology, developmental biology, stem cell biology, gene therapy, and functional screening, among others.
KEY QUOTES:
“Deepcell has catalyzed the field of morpholomics and showcased the benefits of a revolutionary new method for single cell analysis using brightfield cell imaging and artificial intelligence. As we look to the future, we see many possibilities for incorporating multimodal and generative AI into our platform and leveraging our proprietary database of billions of cell images to train additional AI models. Our relationship with NVIDIA will help us accelerate such enhancements and bring these advancements to our customers, enabling new discoveries at unprecedented speed.”
— Mahyar Salek, Ph.D., Cofounder, President, and Chief Technology Officer at Deepcell
“Generative AI is revolutionizing many health-related disciplines, from basic life sciences research informing drug discovery to the diagnosis of medical conditions at the patient’s bedside. This collaboration will accelerate the development and adoption of generative AI tools in cell analysis, helping power future discoveries and their application in translational research.”
— George Vacek, Genomics Alliances Lead at NVIDIA
