Meta And NVIDIA Are Reshaping Healthcare Using AI Technologies

In the past few years, the tech industry has been driven by the advances made in artificial intelligence (AI) and generative artificial intelligence (GenAI).

From boosting productivity to streamlining operations, these technologies have helped enhance workflows and outputs across a wide range of sectors. This includes the healthcare industry, where Meta has played an instrumental role in boosting medical innovation and healthcare research.

This tech conglomerate has brought its powerful and advanced Llama models to all for free, through its open-source stance, a move that Meta’s CEO Mark Zuckerberg has been an advocate of for a long time.

“I believe that open-source is necessary for a positive AI future. AI has more potential than any other modern technology to increase human productivity, creativity, and quality of life – and to accelerate economic growth while unlocking progress in medical and scientific research,” said Zuckerberg.

Open-source AI models allow developers and researchers to download, fine-tune, and run the models on their own devices, reducing the need for data exchange and enabling better control and security over private health data.

When it comes to economic impact, a report by Deloitte finds that addressing health equity gaps across the United States could add $2.8 trillion to the US gross domestic product by 2040, enabling a 9.5% increase over current economic projections.

Meta’s open-source Llama has been used by various healthcare companies. These include:

Zauron Labs used Meta’s Llama to collaborate with universities and build the Guardian AI tool to double-check for errors creeping up in radiological imaging exams and reports, helping improve healthcare outcomes.

“People don’t realize that there are around 3 billion medical imaging exams done per year with a 3-5% error rate,” said radiologist Dr. Kal Clark, Vice Chair of Informatics at the University of Texas Health San Antonio and co-founder of Zauron Labs. “That’s millions of patients.”

Such errors can lead to delays in proper treatment, and illness and suffering can linger or worsen, all of which may lead to long-term health issues.

Essentially, the tool acts as a spell checker for radiologists.

Furthermore, Llama enables them to enhance their health systems and check for various medical problems at once.

Ahead of this, Mendel has used Meta to enhance its Hypercube AI platform, which helps health and science organizations draw insights from patient data by leveraging a chat-like tool.

Hypercube is also used for trial matching and patient cohorting, an important application that around 80% of clinical trials fail to meet their enrollment targets, which hampers the discovery of new treatments.

As per Dr. Wael Salloum, Founder and Chief Science Officer at Mendel, “Studies have shown that it takes hundreds of days to match patients with a clinical trial. Hypercube can do it in one day. Using Meta’s open source AI, Llama, Hypercube allows health care companies to organize their data on their own cloud, creating a secure and searchable knowledge base.”

As such, Meta has enabled Mendel’s Hypercube to extract reliable information from patient records at scale.


It’s not just Meta that’s improving the healthcare sector.

NVIDIA, the undisputed leader of AI hardware, recently announced a range of partnerships with healthcare companies, intending to transform the $10 trillion healthcare and life sciences industry.

Here, the goal is to accelerate drug discovery, enhance genomic research and pioneer advanced healthcare services with agentic and generative AI.

IQVIA, a leading global provider of clinical research services, commercial insights, and healthcare intelligence, will use NVIDIA’s AI Foundry service to build custom foundation models. IQVIA, which operates in over 100 countries, will also work with NVIDIA to build custom foundation models and agentic AI workflows to accelerate research, clinical development, and access to new treatments.

“This collaboration will advance our mission to help our clients accelerate innovation and treatments to market,” said Bhavik Patel, president of commercial solutions at IQVIA.


Illumina, a global leader in DNA sequencing and informatics technologies, will look to unlock the next generation of genomics for drug discovery and human health. For this, Illumina will use its DRAGEN analysis software along with NVIDIA’s accelerated computing and AI toolsets for its multiomics analysis software and workflows.

“Our ability to combine the power of AI with multiomics data is revolutionizing how we can understand disease,” said Steve Barnard, Illumina’s CTO.

Mayo Clinic will work with NVIDIA to boost the development of next-generation pathology foundation models. This will be powered by Mayo Clinic’s Digital Pathology platform, which is built from autonomous robotic labs and advanced imaging technology and brings in a dataset of 20 million whole-slide images with 10 million associated patient records.

This move aims to build a strong base for future AI applications in drug discovery, and personalized diagnostics and treatments.

Mayo Clinic plans to use NVIDIA’s newly available NVIDIA DGX Blackwell systems.

Ahead of this, Arc Institute, a research organization that’s based in Palo Alto, California, and dabbles in biology and machine learning, will work with NVIDIA to develop and share powerful AI models and tools that advance biomedical discovery.

Do you think AI models should be made free to use by companies engaged in critical industries such as healthcare, utilities, defense, and others?

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