DynamiQ™ Insights Engine: Molecular-Clinical Database & Virtual Biobank
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Download BrochureDespite numerous advancements, modern drug development programs still face high late-stage failure rates – often due to the drug not producing the intended effect in humans, even after promising preclinical data. The time, cost, and innovation investment lost is immense, and patient impact is delayed. DynamiQ™ was built to change that.
Our DynamiQ Insights Engine is a population-scale molecular-clinical database built on dynamic, functional multi-omics measures made in >67,000 longitudinally collected human plasma samples and complemented by diverse tumor and normal tissue samples.
This large-scale reference dataset contains broad measures of metabolites, lipids, proteins, and cytokines – the ultimate effectors of health and disease – providing immediate access to mechanistically rich, human-relevant data needed to build evidence that advances the right biomarkers and targets – faster and with far greater certainty.
What makes the DynamiQ Insights Engine unique?
With DynamiQ, Sapient is the only multi-omics partner that has the ability to both analyze your samples and validate the findings in independent real-world cohorts – as well as to uncover novel biology. By focusing on omics layers beyond the genome, we enable deep characterization of the dynamic molecular processes that modulate, or are
modulated by, diseases and therapeutics. The characterized plasma samples are linked with EHR data including demographics, laboratory measures, diagnoses, medications, and clinical outcomes, enabling biomarker discoveries to be contextualized and correlated with real-world patient journeys.
We built DynamiQ to help ground the insights we generate through our client’s omics studies in deeply phenotyped, real‑world human biology – helping programs move from hypotheses to human-validated evidence faster and with more confidence. Whether used to contextualize disease and clinical links of biomarkers observed in a study or to validate early findings in independent patient cohorts, it provides a bridge from inferred to functional biology.
Can DynamiQ be used for de novo discovery?
DynamiQ can also be used for virtual experiments to enable biomarker scouting, hypothesis generation and testing, and independent validation of early findings. This helps to build or strengthen evidence for progressing a study before deep investment in sample collection begins. Clients can also leverage DynamiQ’s deep, longitudinal datasets to train AI-driven foundation models that can map physiological diversity at a level not accessible through genomics, revealing novel biology to explain phenotypic variability.
In addition to our pre-characterized samples, we offer the DynamiQ Tumor-Tissue virtual biobank for streamlined access to clinically annotated FFPE tumors and tissues across common and rare diseases. This enables new discovery in existing archived samples.
Download the fact sheet to learn how Sapient’s DynamiQ Insights Engine can help you discover more with mechanistic context, and validate what others can only hypothesize. You’ll find use cases for:
- Preclinical Translation: to establish mechanistic confidence before committing to expensive development steps.
- Disease Subtyping: by adding biological, clinical, and functional context
to biomarkers used for patient stratification. - Target Identification: to rapidly discover and validate tractable, disease-modifying targets.
- Virtual Biomarker Discovery: to eliminate the time and cost of new sample collection for faster time-to-insight.