Mayo Clinic Launches Mayo Clinic Digital Pathology – Pathology

What You Should Know: 

Mayo Clinic launches Mayo Clinic Digital Pathology, a platform designed to leverage the power of its vast digital slide archive to transform pathology and accelerate medical advancements. 

– The initiative, powered by a collaboration with NVIDIA and Aignostics, aims to unlock the potential of digital pathology and drive innovation in diagnostics and treatment.

Addressing the Challenges of Analog Pathology

Traditional pathology practices often rely on analog processes, limiting access to critical diagnostic data and hindering advancements in patient care. Mayo Clinic Digital Pathology addresses this challenge by digitizing its extensive archive of pathology slides and prospectively scanning slides from current patients. This has resulted in a massive dataset of 20 million digital slide images linked to 10 million patient records, incorporating a wealth of clinical information.

AI-Powered Innovation

Mayo Clinic is collaborating with NVIDIA, a leader in accelerated computing, to build a first-in-class infrastructure for developing and deploying foundation models in pathology. Leveraging NVIDIA Clara, a healthcare-specific computing architecture, Mayo Clinic is creating AI models that will pave the way for new medical breakthroughs and personalized patient experiences.

Furthermore, Mayo Clinic is partnering with Aignostics, an expert in AI models for precision medicine, to enhance the performance and scalability of generative AI in pathology. This collaboration has already yielded promising results, with the development of a leading foundation model built on 1.2 million de-identified slides.

Key benefits of the Mayo Clinic Digital Pathology platform include: 

  • Accelerated medical breakthroughs: Facilitates faster development of new diagnostics and treatments.
  • Enhanced precision medicine: Enables more personalized and targeted therapies.
  • Improved diagnostic accuracy: Leverages AI to enhance the accuracy and efficiency of pathology analysis.
  • Increased access to data: Provides researchers and clinicians with access to a vast and valuable dataset.
  • Global collaboration: Facilitates collaboration and knowledge sharing among researchers worldwide.

“Mayo Clinic is reimagining what is possible in disease detection and prediction, both within its own system and globally. We are doing this by using large, diverse datasets to build powerful artificial intelligence models in pathology. This will make diagnoses faster, more accurate, and more efficient, improving treatment approaches and speeding new cures to patients,” says Jim Rogers, CEO, Mayo Clinic Digital Pathology.