NEWS Real-time AI for kidney biopsies
Pathology software company Aiosyn and Pramana, a company supplying automated digital pathology solutions, have announced a collaboration to deliver inline detection of kidney structures in histology whole-slide images (WSIs).
Leveraging the industry’s first and only digital pathology scanners with integrated Edge AI computing technology from Pramana, Aiosyn’s NephroPath platform streamlines renal biopsy and resection assessments. Technology integration between Aiosyn and Pramana enables the analysis of digital pathology scans as soon as the scanner begins image acquisition. Aiosyn’s AI analysis runs within the edge compute infrastructure that’s integrated to the
RCPath position statement on AMR in animals
Veterinary microbiologists and pathologists are at the forefront of addressing antimicrobial resistance in animals. A new position statement from The Royal College of Pathologists (RCPath) focuses on a series of recommendations to help tackle this global threat. Antimicrobial resistance occurs when bacteria, viruses, fungi and parasites develop resistance to antimicrobial medicines, such as antibiotics. AMR endangers human and animal health and there is increasing recognition that antimicrobial resistance can be transmitted from animals to humans and vice versa.
The statement focuses on: expanding surveillance training for veterinary pathologists in the UK; further research and evaluation into the efficacy and safety of alternatives to antimicrobials; investment in the development of veterinary vaccines; the development of rapid diagnostic tests; and improved data collection to optimise antimicrobial stewardship.
Dr Pamela Kelly, Veterinary Anatomic Pathologist and Veterinary Pathology Specialty Advisory Committee Chair said: “Antibiotics are critical to human and animal medicine, but the emergence of antimicrobial resistance is of global concern. These recommendations will support veterinary microbiologists and pathologists to o tackle AMR.”
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strengthens data privacy and security by minimising the need for transferring large WSI files to external systems. Through the NephroPath platform
Pramana digital scanners and starts before the full slide scan is completed. As opposed to existing solutions that depend solely on cloud-hosted AI analysis of fully scanned whole slide images, this collaboration not only accelerates workflows but also
(pictured), Aiosyn’s AI algorithms offer an automated assessment of kidney tissue, identifying and quantifying key structures such as healthy and sclerotic glomeruli, tubuli, arteries, capsule, and the interstitium. Since NephroPath AI analyses the sample as it is scanned, Pramana’s system can acquire the image at multiple focal planes for each glomerulus, tubule, and other structures. Pathologists are not only able to access the detections of the AI model but also browse through the digital z-stack. The NephroPath platform is currently designated for Research Use Only.
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