Healthcare and technology companies continue to partner to bring AI into the pharma landscape. Many people believe that the machine learning algorithms have the potential to change the way many processes are performed in the healthcare space. This includes everything from drug development, marketing, and even diagnosing.
Key Takeaways
- Lunit and Microsoft are working together to push for the use of AI in cancer diagnosis.
- Lunit's AI will be integrated with Microsoft Azure's global cloud infrastructure.
- This is part of Lunit's plan to take AI-usage beyond individual tools.
How is AI being used in cancer diagnosis?
Lunit and Microsoft are working together to push for the use of AI in cancer diagnosis.1 The companies will provide greater access to AI-powered tools through Microsoft Azure’s global cloud infrastructure.
This includes both companies working together to provide cloud users with customizable AI models while also leveraging the platform to incorporate AI into workflows.
In a press release, Lunit’s CEO Brandon Suh said, “For AI to truly make an impact in healthcare, it must be accessible, scalable, and seamlessly integrated into clinical practice. Our collaboration with Microsoft enables us to bring our AI to more providers through trusted platforms like Microsoft Azure, helping us expand access in the U.S. and beyond. This collaboration brings us one step closer to delivering high-quality, consistent care through AI—at scale."
Microsoft’s general manager of health and life sciences data and AI Naveen Valluri added in the same press release, “With Microsoft Azure, we are shaping an ecosystem that supports partners like Lunit in delivering scalable AI innovations. By combining our infrastructure with clinical-grade AI developed in close collaboration with leaders like Lunit, we're accelerating the development of intelligent, integrated solutions for radiology and beyond."
According to Lunit, its goal is to push AI beyond being used for individual tools within the cancer treatment space and to fully incorporate the technology in real-world settings.