US-based AI health tech company Pramana and non-profit reference laboratory ARUP Laboratories have partnered to digitise pathology slides and develop AI-powered algorithms.
The collaboration aims to improve the evaluation of bone marrow biopsies and address other diagnostic challenges in hematopathology.
It will combine ARUP’s haematopathology expertise with Pramana’s SpectralHT whole-slide imaging scanners to improve diagnostic precision and operational efficiency.
ARUP will lead the development of the AI model, building on its team of hematopathologists and annotation tools to train and validate algorithms using clinical cases and pathology slides.
The algorithms are designed to operate on Pramana’s SpectralHT scanners, showcasing the potential of in-line edge computing for real-time diagnostics.
The partnership will explore commercialisation strategies to enable the deployment and distribution of the diagnostic algorithms, adhering to regulatory standards.
ARUP Laboratories hematologic flow cytometry and applied artificial intelligence medical director David Ng said: “Hematopathology involves highly complex and difficult-to-scan specimens, where traditional methods often fall short in delivering consistent and reproducible results.
“By combining our deep clinical expertise with Pramana’s large-scale digitisation 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.”
Pramana’s SpectralHT scanners feature in-line edge AI computing, providing real-time quality control and automated image processing.
The technology aims to reduce laboratory personnel workload while maintaining high-quality data output.
The scanners’ volumetric imaging capabilities are intended to enhance image quality and scanning efficiency for complex diagnostic slides, including in microbiology, hematopathology, parasitology, and cytology.
Pramana chief product officer Prasanth Perugupalli said: “This collaboration with ARUP Laboratories showcases how AI-driven pathology can redefine industry standards, making diagnostics more scalable, efficient, and interoperable.
“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.”
