End-to-end oncology expertise

- Extensive experience across solid tumors, from first-in-human to phase IV
- Specialized support across tissue, cell, DNA/RNA, and protein modalities
- Contributions to the approval and expansion of oncology therapies

Deliver the biomarker data and integrated insights needed to guide decisions, reduce delays, and keep your oncology program moving toward patients.
Early‑phase trials now depend on complex, multimodal biomarkers, while timelines continue to compress. What’s needed is a scientifically integrated approach that brings together tissue, cellular, molecular, and spatial data into a single, coherent view of tumor biology.
Our scientific teams work with you to design and deliver that approach, aligning biomarker strategy, assay selection, and global laboratory execution to your study objectives and endpoints, without compromising data quality or turnaround times.
We support solid tumor programs through a fully integrated oncology toolkit, including histopathology and IHC, high-parameter flow cytometry enhanced with AI-driven analytics, next-generation sequencing, digital pathology, and spatial biology.
With experience across more than 360 oncology trials, we deliver the data you need when you need it – so you can focus on turning insights into therapies that truly impact patients’ lives.





By integrating genomic, phenotypic, proteomic, and morphological insights, supported by advanced computational analytics, we help you turn complex data into clear, confident decisions at every stage of your program.





Our globally harmonized labs and Centers of Excellence deliver reliable, decision-ready data for solid tumor programs worldwide.
Histopathology/IHC:
United States, France, Taiwan, China
Genetics and genomics:
France, Netherlands, Taiwan, United States, Canada

We use state-of-the-art technologies to generate integrated, high-resolution data that drives confident clinical decisions for your program.
Conventional flow cytometry
High‑parameter flow cytometry
AI-driven analytics for flow cytometry
Spatial biology and digital spatial profiling
Whole-slide imaging
Digital pathology and image analysis
Next-generation sequencing (NGS)
Every solid tumor program needs fit-for-purpose and analytically reliable biomarkers. To support this, we maintain a broad menu of validated and exploratory IHC biomarkers.
The following lists summarize the simplex and multiplex markers most frequently used in our oncology trials, with customization available when required.
This poster presents data from our study evaluating AI-driven image analysis for Ki-67 quantification in a cohort of 114 breast cancer tumors.
Using the Aiforia® deep learning platform, Halo® image analysis, and two independently trained pathologists, we compared speed, reproducibility, and consistency across scoring methods. The findings show that AI delivers highly consistent Ki-67 results, matching both manual and software-based approaches while dramatically reducing analysis time.
This demonstrates the potential of AI to support more efficient, reproducible Ki-67 assessments, which is especially valuable in HR+/HER2- breast cancer cases where accurate proliferation scoring informs treatment decisions.
