CAMBRIDGE, Mass. & SALT LAKE CITY--(BUSINESS WIRE)--Pramana, Inc., an AI-enabled health tech company modernizing the pathology sector, and ARUP Laboratories, the largest nonprofit clinical and academic reference laboratory in the United States, announced a collaboration to digitize pathology slides and develop AI-powered algorithms to improve the assessment of bone marrow biopsies and address other key diagnostic challenges in hematopathology. The partnership combines ARUP’s hematopathology expertise with Pramana’s cutting-edge SpectralHT autonomous whole-slide imaging scanners to advance diagnostic precision and efficiency.

“Hematopathology involves highly complex and difficult-to-scan specimens, where traditional methods often fall short in delivering consistent and reproducible results,” said David Ng, MD, medical director of Hematologic Flow Cytometry and Applied Artificial Intelligence at ARUP Laboratories. “By combining our deep clinical expertise with Pramana’s large-scale digitization and AI-driven analysis, we have the ability to develop and clinically validate new AI algorithms that will improve diagnostic accuracy and workflow efficiency. Additionally, this collaboration lays the foundation for the broad distribution of these AI tools, ensuring greater accessibility and impact across the pathology community.”

The AI model development process will be led by ARUP, drawing on its expert hematopathologists and annotation tools to train, refine, and validate the algorithms using real-world clinical cases and pathology slides obtained for this purpose. These algorithms will be designed and tested to run efficiently on Pramana’s SpectralHT scanners, demonstrating the viability of in-line edge computing for real-time AI-powered diagnostics. ARUP and Pramana will explore commercialization strategies to enable the seamless deployment and distribution of advanced diagnostic algorithms per regulatory standards, which will run efficiently on scanners and drive broader industry adoption in clinical diagnostics.
“This collaboration with ARUP Laboratories showcases how AI-driven pathology can redefine industry standards, making diagnostics more scalable, efficient, and interoperable,” said Prasanth Perugupalli, chief product officer at Pramana. “By leveraging edge computing, we’re accelerating the adoption of advanced diagnostic algorithms, including those for complex hematopathology cases. This approach enhances precision, removes scalability barriers, and seamlessly integrates AI-driven insights into lab workflows.”

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