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Customers are turning to SambaNova to quickly deploy state-of-the-art AI capabilities to gain competitive advantage. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We power the foundation models that unlock the valuable business insights trapped in data.
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Generative AI For Healthcare & Life Sciences

SambaNova Suite for Better Healthcare Outcomes

Download Data Sheet

AI Advances Patient Care

Healthcare and life sciences organizations are unique in that they address urgent life and death challenges every day. The high stakes, combined with critical regulatory and privacy concerns, can make it difficult to focus on crucial innovation projects.

To enhance patient experiences and outcomes while accelerating competitive innovation, healthcare and life sciences organizations must be able to efficiently implement AI solutions that advance personalized medicine and improve the patient journey.

Offload Complexity, Innovate Competitively

SambaNova Suite augments your organization’s AI expertise by providing a comprehensive platform, services, and models that enable healthcare and life sciences organizations to develop and deploy state-of-the-art AI solutions without the time and expense of building complex AI architectures and hiring teams of machine learning experts.

Use Cases Use Cases Use Cases
Slow and expensive, drug discovery requires an average of ten years and nearly $3 billion to complete, from idea to prescription. To get life-saving drugs to market faster, the industry is working to integrate AI at every stage from research, to clinical trials, and beyond. Drug companies are building massive AI-driven knowledge graphs that reveal critical connections between proteins, molecules, and pathways—empowering them to improve analysis and make better, faster decisions about the viability of drug targets. Genomics data, which is growing at astronomical rates, is driving a revolution in personalized medicine but requires levels of AI compute power that go beyond the limitations of traditional technologies.
Many computer vision use cases in healthcare and life sciences, particularly those around cancer research and diagnosis, rely on how accurately a high-resolution image can be analyzed. The key to more accurate screening and diagnostics across a number of healthcare and pharma applications is the ability to use true-resolution images to train deep learning models without long run times, tiling, and down-sampling — bottlenecks and workarounds necessitated by conventional AI systems that also sacrifice accuracy. Next-generation AI technology is needed to drive real breakthroughs in medical imaging and improve patient outcomes.
COVID-19 advanced telehealth five years in a matter of months. It also exposed a need to make every aspect of telehealth smarter and more personalized. Post-pandemic, AI innovations in telehealth will continue to make virtual care a more mainstream, cost-effective part of the ecosystem. From conversational AI to accurate recommendation models that improve the patient journey—advanced AI models are driving better patient experiences. Accelerating delivery of virtual care, such as doctor matching, symptom checking, and “next-best” action recommendations, AI will be increasingly utilized to help patients navigate the continuum of care while personalizing and improving treatment.

  • Use Cases

  • Drug Discovery and Genomics
    Use Cases
    Slow and expensive, drug discovery requires an average of ten years and nearly $3 billion to complete, from idea to prescription. To get life-saving drugs to market faster, the industry is working to integrate AI at every stage from research, to clinical trials, and beyond. Drug companies are building massive AI-driven knowledge graphs that reveal critical connections between proteins, molecules, and pathways—empowering them to improve analysis and make better, faster decisions about the viability of drug targets. Genomics data, which is growing at astronomical rates, is driving a revolution in personalized medicine but requires levels of AI compute power that go beyond the limitations of traditional technologies.
  • Medical Imaging
    Use Cases
    Slow and expensive, drug discovery requires an average of ten years and nearly $3 billion to complete, from idea to prescription. To get life-saving drugs to market faster, the industry is working to integrate AI at every stage from research, to clinical trials, and beyond. Drug companies are building massive AI-driven knowledge graphs that reveal critical connections between proteins, molecules, and pathways—empowering them to improve analysis and make better, faster decisions about the viability of drug targets. Genomics data, which is growing at astronomical rates, is driving a revolution in personalized medicine but requires levels of AI compute power that go beyond the limitations of traditional technologies.
  • Telehealth
    Use Cases
    COVID-19 advanced telehealth five years in a matter of months. It also exposed a need to make every aspect of telehealth smarter and more personalized. Post-pandemic, AI innovations in telehealth will continue to make virtual care a more mainstream, cost-effective part of the ecosystem. From conversational AI to accurate recommendation models that improve the patient journey—advanced AI models are driving better patient experiences. Accelerating delivery of virtual care, such as doctor matching, symptom checking, and “next-best” action recommendations, AI will be increasingly utilized to help patients navigate the continuum of care while personalizing and improving treatment.

Learn how SambaNova can help your organization leverage AI to improve patient engagement and outcomes.

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Customers turn to SambaNova to quickly deploy state-of-the-art AI capabilities to meet the demands of the AI-enabled world. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We enable customers to unlock the valuable business insights trapped in their data. Our flagship offering, SambaNova Suite, overcomes the limitations of legacy technology to power the large complex foundation models that enable customers to discover new services and revenue streams, and boost operational efficiency. Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and hardware and software design experts from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others.
Our Headquarters:
2200 Geng Road, Unit 100
Palo Alto, CA 94303
(650) 263-1153
Terms & Conditions Privacy Policy
Copyright © 2024 SambaNova
Systems, Inc. All rights reserved