AiosynQC detects the most common artifacts that appear during the preparation and scanning of slides. The algorithm, which can be integrated in existing workflows, flags cases before the presentation to a pathologist.
We use science-based innovation to develop AI-powered solutions that provide a positive impact on patients. We develop computational pathology technology to facilitate informed decision-making in both drug development and clinical diagnostics.
Improve the workflow and support clinical decision making.
Learn moreSolutions to assist in the identification of novel pathology-based biomarkers.
Learn moreOur algorithms are co-developed with pathologists.
Join our networkWe combine state-of-the-art AI research and engineering to develop AI-powered diagnostics
PublicationsOur solutions are tightly integrated into standard pathology workflows.
Learn moreAt Aiosyn we are convinced that computational pathology empowers pathologists to make their work more accurate, efficient and effective. We develop software solutions that inject deep-learning algorithms into existing pathologist workflows to improve clinical decision-making.
With our AI-powered technology, we want to provide new perspectives that lead to improved patient identification and stratification in drug development programs.