
AI Diagnostics for Clinicians & Labs
Powering oncology Dx for digital pathology
Driving transformation to meet critical unmet needs
Challenges
Too many patients, too many biomarkers, not enough time
Increased use of biomarkers and shortage of pathologists creates bottlenecks.
Increased turnaround time, delayed treatments, and detrimental impact on HCPs mental health.
Susceptible to inter-observer variability, and requires specialized expertise and infrastructure.
Lack of standard guidelines for key biomarker testing.
Limits test access to many patients and healthcare providers.
Limits patients’ access to
diagnostics and potential treatment.
diagnostics and potential treatment.
Streamline diagnosis and reduce bottlenecks ensuring patients have access to innovative treatments.
Context
Is AI the key to unlocking digital pathology’s potential?
With machine learning advancements, the abundance of information in pathology slides can be leveraged like never before.
AI solutions can inform pathologists in daily tasks, screen for predictive biomarkers, and provide insight into patient outcomes to support treatment decision-making.
What makes Owkin different?
Our robust data expertise and strong collaborations build impactful diagnostics
Medical and industry experts foster our collaborations
“By focusing on rigorous validation, standardization, and strategic investments, we can pave the way for AI tools to transform patient care in oncology and beyond.”
Doctor Roberto Salgado
Pathologist at ZAS, Belgium
Read the full testimonial
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Information last updated on 18th March 2025.