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.
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Solutions to assist in the identification of novel pathology-based biomarkers.
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Our algorithms are co-developed with pathologists.
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We combine state-of-the-art AI research and engineering to develop AI-powered diagnostics
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Our solutions are tightly integrated into standard pathology workflows.
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At 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.