Translational Informatics and Biometrics
Rapidly interrogate any specialty lab or clinical data to stratify patients and swiftly reach actionable information
Unlocking the Value of Complex Biomarker Data: Clinical Omics
In this article, our experts are asked to explore biomarker data trends and
challenges, and share how drug developers evaluating biomarkers in
early-phase studies can quickly realize the full value of the collected data.
Whether you have high-throughput genomic data or high-content data for immune monitoring, we can meet the challenges of managing, analyzing, and synthesizing it to accelerate new discoveries, identify drug targets, characterize MoAs, and develop biomarkers for patient selection. This work is grounded in passion: For translational informatics and data science. For genomics and computational biology. For biostatistics. Throughout, we accelerate decision making by leveraging our translational informatics platform, QuartzBioSM.
Biomarker data management. Rapidly harmonize, synthesize, and visualize specialty lab data from multiple vendors and diverse assays.
Biomarker statistics. Stratify patients, identify a novel drug target, or understand an MoA. Our team of experts deploys novel algorithms and strategies to uncover hidden insights.
Immuno-informatics. Flow cytometry and immunosequencing produce high-content data, which can be complex to mine—especially manually; our team infuses your research with efficiency and reproducibility.
Biometrics. Our unified data management and biostatistics solution provides efficient out-of-the-box solutions for cutting-edge products with aggressive development timelines.
A More Integrated and Effective Approach to Biomarker Data Management
