Achieve moreperspective
At Aiosyn, we are committed to advancing precision pathology through artificial intelligence. We develop software solutions that bring artificial intelligence algorithms into existing workflows to provide data-driven insights that ultimately improve patient outcomes. With our AI-powered technology, we want to offer pathology labs and biopharma companies new perspectives to discover the most effective treatments while optimizing workflow efficiency.
Rooted in pathology
Aiosyn was founded as a spin-off from the Computational Pathology research group of Radboud University Medical Center, one of the front-runners in the field. We build upon 20+ years of research experience in the field of pathology and are proud to say that we are rooted in pathology practice. With our track-record in artificial intelligence and software engineering we bring research innovations into the hands of our customers.
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The role of AI in digital pathology
AI is changing pathology by producing new insights, supporting diagnostic accuracy, streamlining workflows, and ultimately improving patient care. Our tools provide precise quantitative measurements that accelerate research as well as diagnosis.
These advances are transforming clinical practice and drug development, supporting more precise diagnoses and personalized treatments while reducing the time spent on manual review.
Where pathology AI is heading next
The field is moving from models built for one task toward models trained on large amounts of tissue that can be adapted to a new question. For preclinical research that direction points at a new tissue, stain or endpoint being taken on without a model being built from scratch, and at every study starting from everything read before it.
It is the direction we build in: one focus area at a time, each one general enough to be worth keeping. What a study runs on today is the AI suite, a set of specific models, each built and validated on real cohorts.
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Let's talk about your study
Tell us what you are trying to measure. We will show you what Aiosyn's read-outs would look like on your tissue.