AI-Driven Ki-67 Analysis in Solid Tumors
Discover how AI-powered image analysis enhances the accuracy and reproducibility of Ki-67 scoring for tumor proliferation assessment.


Unlock deeper insights from tissue data with advanced digital pathology and image analysis.
Digital pathology and image analysis is critical in modern tissue-based research – but generating reliable, reproducible image-based data requires more than high-resolution scanning. It demands validated digital platforms, secure data management, standardized workflows, and expert-led analysis strategies that translate visual information into meaningful, decision-ready outputs.
We integrate high-throughput digital imaging, remote pathology review, and advanced image analysis within a globally connected infrastructure, using industry-leading software and multiplex capabilities to support biomarker-driven studies across therapeutic areas.
From slide digitization and centralized review through to AI-supported quantification and spatial analysis, we deliver consistent, high-quality image data that enhances interpretability, supports clinical endpoints, and accelerates confident decision-making across your program.

Having access to multiple software programs also provides extended capabilities to offer the most relevant and efficient method to generate data.
Our image analysis software capabilities includes:

We have designed a proprietary solution for automated adjudication and short turnaround time in clinical trials where regulatory authorities request multiple readers to analyze each biopsy.
Each pathologist is equipped with a dedicated tablet to scan the sample ID inserted into the biopsy image and report on the results directly. Scores are compared by an algorithm validated specifically for each trial/scenario, triggering the request for an additional reader when necessary. The single final consensus result is then reported in the clinical trial database.
This solution offers unequaled speed and reliability when multiple readings are required in a short time frame, like, for example, biopsies for the inclusion of patients in NASH trials.
