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Lunit and Microsoft Collaborate to Advance AI-Driven Cancer Diagnosis

by Fred Pennic 07/02/2025 Leave a Comment

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Lunit and Microsoft Collaborate to Advance AI-Driven Cancer Diagnosis

What You Should Know:

– Lunit, a provider of AI for cancer diagnostics and therapeutics announced a strategic collaboration with Microsoft to accelerate the delivery of AI-powered healthcare solutions globally. 

– The partnership, coupled with Lunit’s recent acquisition of Volpara (a Microsoft Industry Health Certified Partner), aims to provide health professionals worldwide with advanced tools for cancer detection.

Driving Scalable, Integrated AI in Healthcare

The strategic alliance between Lunit and Microsoft will focus on several critical areas:

  • Co-Development of AI Model Customization Service on Azure: Lunit and Microsoft will collaborate to develop a service that enables the fine-tuning of AI models using site-specific clinical data from each customer. This innovative approach is designed to mitigate cross-site model performance variability, a significant challenge in deploying AI in real-world clinical environments, thereby ensuring more reliable and tailored outcomes in diverse clinical settings.
  • Leveraging Microsoft’s AI Platform for Innovative Workflow Solutions: Moving beyond isolated point solutions, Lunit will utilize Microsoft’s agentic AI frameworks. These frameworks, designed to support intelligent task automation, will be leveraged to develop end-to-end workflow automation tools. The goal of these solutions is to simplify clinical decision-making and enhance operational efficiency across the continuum of care.

“For AI to truly make an impact in healthcare, it must be accessible, scalable, and seamlessly integrated into clinical practice,” said Brandon Suh, CEO of Lunit. He further emphasized, “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”.

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Tagged With: Artificial Intelligence, Oncology

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