Roche is collaborating with Ibex Medical Analytics and Amazon Web Services to enable pathology laboratories to access AI-powered decision support tools to support clinicians in breast and prostate cancer diagnosis through the navify Digital Pathology software platform.

Digital pathology aims to transform traditional histopathology by improving efficiency, depth of analysis, and providing an opportunity for collaboration in pathology workflows, according to Roche. The integrated artificial intelligence (AI)-based tools can be applied to help enhance clinical decision support, improve productivity, and shorten turnaround time in pathology laboratories.

“This exciting collaboration brings powerful AI solutions to pathology labs,” says Michael Rivers, Lifecycle Leader for Roche Digital Pathology. “Using the navify Digital Pathology platform pathologists can securely access third-party AI-powered technology alongside Roche’s growing menu of AI-based image analysis tools in an efficient clinical workflow.”

Ibex’s AI algorithms help clinicians in the diagnosis of breast and prostate biopsies and provide efficient, accurate, and timely cancer diagnosis, support case prioritization, determine the cancer grading and subtype, and identify important non-cancerous features, according to the company. All of this detailed diagnosis information is displayed in the navify Digital Pathology solution.

The Ibex algorithms are used at laboratories and hospitals worldwide, and help clinicians improve patient care as demonstrated by multiple clinical studies performed in the United States and Europe1,2,3,4. These algorithms are currently for Research Use Only, not for use in diagnostic procedures, in the United States, and CE-Marked for IVD use in Europe for breast and prostate cancer detection in multiple workflows.

Further reading: Roche Expands Long-Term Partnership with Sysmex

“Our collaboration with Roche is driving new AI-powered workflows that help pathologists and laboratories realize the full potential of going digital,” says Joseph Mossel, CEO and co-founder of Ibex Medical Analytics. “The next phase in the evolution of digital pathology is open platforms that enable technology providers to join forces and offer integrated software solutions that improve lab efficiency, biopsy review and ultimately the quality of patient care.”

Roche’s solution and Ibex’s algorithms operate on the secure and scalable Amazon Web Services. This cloud infrastructure provides customers with flexibility, security, computing capacity, responsiveness, and confidence to accelerate the adoption of digital pathology and AI.

As cancer incidence and pathology workloads continue to increase globally, cloud-based services enable laboratories and health systems to safely, reliably, and cost-effectively scale up the volume of slide images they analyze, roll out new applications, add new digitized sites to their network, and expand to new geographies.


  1. Pantanowitz et al., An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study, THE LANCET Digital Health Aug 2020
  1. Sandbank et al., Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies; npj Breast Cancer 8, 129 (2022)
  1. Comperat et al., Clinical Level AI-Based Solution for Primary Diagnosis and Reporting of Prostate Biopsies in Routine Use: A Prospective Reader Study, European Congress of Pathology 2021
  1. Raoux et al., Novel AI-Based Solution for Supporting Primary Diagnosis of Prostate Cancer Increases the Accuracy and Efficiency of Reporting in Clinical Routine, USCAP 2021