AI Cancer Detection & Diagnostics

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Cancer Detection AI built for pathologists who want efficient diagnostics
for faster, more accurate cancer detection.

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Predictions indicate that the number of new cases of cancer will reach 35 million by 2050 (77% increase)*

With pathologists responsible for diagnosing 100% of all cancers, their workloads are only set to increase.

*Global cancer statistics 2022: GLOBOCAN estimates of incidence
and mortality worldwide for 36 cancers in 185 countries

Advanced Artificial Intelligence Diagnostics For Cancer

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Streamlining Cancer Diagnosis Across All Tissues

Our AI-powered cancer detection platform is designed to assist pathologists in diagnosing a variety of cancer types with speed and precision. By analyzing whole-slide images or traditional glass slides, our technology identifies key clinical findings, ensuring that no detail is overlooked.

Empowering Pathologists with Actionable Insights

Franklin.ai’s tools provide pathologists with AI-driven insights, highlighting areas of concern and streamlining case reviews. This reduces diagnostic uncertainty and allows healthcare professionals to focus on delivering high-quality patient care.

Optimized for Digital and Traditional Pathology Workflows

Whether your lab utilizes cutting-edge digital pathology or relies on glass slide analysis, our solutions seamlessly integrate into your workflow. With Franklin.ai, pathologists can achieve consistent, reliable results, enhancing both efficiency and accuracy.

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Book a Call
Keen to see more? Shoot us a message and organise a walk through.
By clicking the submit button you confirm that you have read our Privacy Policy and understand that we will collect use, and disclose your personal information in accordance with our Privacy Policy, the Privacy Act 1988 (Cth) and other Australian privacy laws and regulations, where applicable. By submitting your details you agree to receive electronic marketing messages from us about other and future products and services (including future webinars, newsletters and publications). You can unsubscribe at any time.