March 21, 2025—Pramana and ARUP Laboratories announced a collaboration to digitize pathology slides and develop AI-powered algorithms to improve the assessment of bone marrow biopsies and address other diagnostic challenges in hematopathology. ARUP says will draw on its hematopathologists and annotation tools to train, refine, and validate the algorithms using real-world clinical cases and pathology slides obtained for this purpose. The algorithms will be designed and tested to run on Pramana’s SpectralHT whole slide imaging scanners, demonstrating the viability of inline edge computing for real-time AI-powered diagnostics. The companies will explore commercialization strategies to enable the deployment and distribution of advanced diagnostic algorithms per regulatory standards.
In a separate release, Pramana announced it is collaborating with Aiosyn to deliver inline detection of kidney structures in histology whole slide images. Leveraging Pramana’s digital pathology scanners with integrated Edge AI computing technology, Aiosyn’s NephroPath platform streamlines renal biopsy and resection assessments. The technology integration between Aiosyn and Pramana enables the analysis of digital pathology scans as soon as the scanner begins image acquisition. The companies plan to expand their capabilities by integrating the detection and quantification of additional tissue structures.