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 more
Solutions to assist in the identification of novel pathology-based biomarkers.Learn more
We combine state-of-the-art AI research and engineering to develop AI-powered diagnosticsPublications
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.