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What does NVIDIA do in healthcare?
This episode features Dr. Chelsea Sumner discussing NVIDIA's significant role in healthcare, particularly in its work with AI startups. Key areas of focus include NVIDIA’s contributions to medical imaging, genomics, and drug discovery, and its innovative tools like Clara and NIMs. The conversation highlights how NVIDIA collaborates with startups, its global footprint, and insights into AI’s transformative potential in healthcare.
Key Points:GPUs in Healthcare: NVIDIA's graphics processing units (GPUs) power AI and are pivotal in medical imaging, genomics, and drug discovery.
Clara Platform: A suite of healthcare-focused AI tools supporting genomics (Parabricks), medical imaging (Moni), robotics (Isaac), and drug discovery (BioNemo).
Inception Program: NVIDIA supports over 3,000 healthcare startups globally, offering them tools, resources, and access to venture capital (VCA).
Diverse Startup Sizes: Startups range from small two-person teams to large-scale companies with 800+ employees.
Examples of Partnerships:
Mendel AI: Improved deployment efficiency by 75% using NVIDIA’s Inference Microservices (NIMs).
Hippocratic AI: Developing empathetic AI avatars for patient interactions.
Abridge: AI-powered clinical conversations that can generate clinical notes, saving clinicians time.
NIMs (NVIDIA Inference Microservices): These microservices streamline AI model deployment, enabling faster and easier integration of AI models into applications.
Genome Sequencing: NVIDIA set a world record for genome sequencing in under 6 hours, highlighting advancements in personalized medicine.
GI Genius with Medtronic: AI-assisted colonoscopy tool leveraging NVIDIA’s technology to detect polyps, aiding in colorectal cancer prevention.
J&J MedTech Collaboration: Connecting digital ecosystems for surgery to provide real-time insights to medical professionals.
Future of AI in Healthcare:
Digital Biology, Surgery, and Health: Key areas where generative AI will impact healthcare, from diagnostics to personalized treatment.
Model Transparency (Model Cards): NVIDIA’s trustworthy AI initiatives include model cards, which offer transparency into AI models' development and data, aiding in mitigating bias.
www.facesofdigitalhealth.com
Newsletter: https://fodh.substack.com/
View all episodes
By Tjasa Zajc
5
2020 ratings
This episode features Dr. Chelsea Sumner discussing NVIDIA's significant role in healthcare, particularly in its work with AI startups. Key areas of focus include NVIDIA’s contributions to medical imaging, genomics, and drug discovery, and its innovative tools like Clara and NIMs. The conversation highlights how NVIDIA collaborates with startups, its global footprint, and insights into AI’s transformative potential in healthcare.
Key Points:GPUs in Healthcare: NVIDIA's graphics processing units (GPUs) power AI and are pivotal in medical imaging, genomics, and drug discovery.
Clara Platform: A suite of healthcare-focused AI tools supporting genomics (Parabricks), medical imaging (Moni), robotics (Isaac), and drug discovery (BioNemo).
Inception Program: NVIDIA supports over 3,000 healthcare startups globally, offering them tools, resources, and access to venture capital (VCA).
Diverse Startup Sizes: Startups range from small two-person teams to large-scale companies with 800+ employees.
Examples of Partnerships:
Mendel AI: Improved deployment efficiency by 75% using NVIDIA’s Inference Microservices (NIMs).
Hippocratic AI: Developing empathetic AI avatars for patient interactions.
Abridge: AI-powered clinical conversations that can generate clinical notes, saving clinicians time.
NIMs (NVIDIA Inference Microservices): These microservices streamline AI model deployment, enabling faster and easier integration of AI models into applications.
Genome Sequencing: NVIDIA set a world record for genome sequencing in under 6 hours, highlighting advancements in personalized medicine.
GI Genius with Medtronic: AI-assisted colonoscopy tool leveraging NVIDIA’s technology to detect polyps, aiding in colorectal cancer prevention.
J&J MedTech Collaboration: Connecting digital ecosystems for surgery to provide real-time insights to medical professionals.
Future of AI in Healthcare:
Digital Biology, Surgery, and Health: Key areas where generative AI will impact healthcare, from diagnostics to personalized treatment.
Model Transparency (Model Cards): NVIDIA’s trustworthy AI initiatives include model cards, which offer transparency into AI models' development and data, aiding in mitigating bias.
www.facesofdigitalhealth.com
Newsletter: https://fodh.substack.com/
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