
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 & 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

"Our collaboration at Owkin has been instrumental in this process. This collaborative approach allows us to advance the field of pathology through AI, and I am excited to see the continued progress we make together."
Katharina Von Loga
Head of Pathology at Owkin
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Information last updated on 18th March 2025.