The most dynamic multi-omic measures per sample.

Deep phenotypic information on every patient.

Longitudinal sampling & clinical outcomes.

Multi-omics database and biorepository

Uncover dynamic drivers of disease and drug response using our multi-omics database, linked real-world data, and guided analyses.

Sapient’s DynamiQ™ Insights Engine is a multi-omics database built from our ever-growing biorepository of serial samples collected from a diverse population of patients, enabling:

Deep phenotyping

We integrate the largest of breadth of dynamic protein, metabolite, and lipid measures with other omics and RWD to decipher multi-factorial diseases.

Longitudinal views

We look across timepoints to assess similarities and differences in patient journeys, to identify changing health factors and points of intervention.

AI-ready analyses

Our nontargeted datasets are ideal for enabling robust discovery and validation of new biomarkers, targets, and diagnostics with our AI tools.

Because disease processes and patient journeys aren’t static.

The DynamiQ difference lies in the diverse and dynamic nature of the measures we bring together, from both a molecular and clinical perspective. Our multi-omics database includes:

PROTEOMICS

METABOLOMICS & LIPIDOMICS

CYTOKINES & CHEMOKINES

WHOLE-GENOME SEQUENCING

SUBJECT INFORMATION

OUTCOMES

LAB MEASURES

CONDITIONS

TREATMENTS

What will you discover with DynamiQ multi-omics data?

Sapient provides guided analyses to curate unique datasets within the DynamiQ multi-omics database that support your research questions. We can help define cohort criteria, build the biocomputational design, and execute analysis with:

Select patient strata across phenotypes

Rapidly define a cohort based on multi-dimensional data including demographics, disease class, diagnosis, therapeutic regimens, and longitudinal outcomes
Enable at-scale comparisons across individuals with complex phenotypes and conditions
Stratify patient populations for deeper dynamic analytics

Explore and compare patient journeys

Obtain unbiased views of biomarker and treatment- response patterns in individuals across multiple years
Identify sub-cohorts based on similar molecular and clinical characteristics
Understand health trajectories to predict disease and identify optimal points of intervention

Explore biomarker dynamics and key associations

Cross-validate biomarker findings from your study in independent cohorts
Explore biomarker specificity and its stability and dynamics across time, treatments, and more
Evaluate biomarker-disease, biomarker-phenotype and biomarker-genotype associations at population scale

Find new disease-modifying, tractable drug targets

Leverage deep discovery proteomics data alongside AI to identify, validate, and match the optimal target with your drug
Explore protein isoforms and PTMs that may represent important targets
Identify potential off-tissue effects of drugs targeting differentially expressed proteins

What will you discover with Sapient's DynamiQ Insights Engine?

Sapient provides guided analyses to curate unique datasets within DynamiQ that support your research questions. We can help define cohort criteria, build the biocomputational design, and execute analysis with our:

Cross-validate biomarker findings from your study in independent cohorts
Explore biomarker specificity and its stability and
dynamics across time, treatments, and more
Evaluate biomarker-disease, biomarker-phenotype and biomarker-genotype associations at population scale

Explore biomarker dynamics and key associations

Rapidly define a cohort based on mufti-dimensional data including demographics, disease class, diagnosis, therapeutic regimens, and longitudinal outcomes
Enable at-scale comparisons across individuals with complex phenotypes and conditions
Stratify patient populations for deeper dynamic analytics

Rapidly define a cohort based on mufti-dimensional data including demographics, disease class, diagnosis, therapeutic regimens, and longitudinal outcomes
Enable at-scale comparisons across individuals with complex phenotypes and conditions
Stratify patient populations for deeper dynamic analytics

Obtain unbiased views of biomarker and treatment-
response patterns in individuals across multiple years
Identify sub-cohorts based on similar molecular and clinical characteristics
Understand health trajectories to predict disease and
identify optimal points of intervention

Rapidly define a cohort based on mufti-dimensional data including demographics, disease class, diagnosis, therapeutic regimens, and longitudinal outcomes
Enable at-scale comparisons across individuals with complex phenotypes and conditions
Stratify patient populations for deeper dynamic analytics

Explore biomarker dynamics and key associations

Insights across time, molecular mechanisms, and many diseases.

Sapient’s DynamiQ biorepository has been carefully curated for representation across diverse demographics and the most complex, heterogeneous diseases.

Cancer

Plasma and tumor samples representing diverse cancers.

Cardiovascular & Metabolic

Encompassing many diseases from diabetes to heart failure.

Autoimmune / Inflammation

Thousands of samples spanning IBD, RA, and asthma.

Neurodegenerative

Including for Parkinson’s, Alzheimer’s, and dementia.

Liver / GI / Digestive

Representing diseases from GERD to cirrhosis and MASH.

Renal

Including for DKD, CKD, and fast-progressing kidney disease.

Rare

>1,000 samples representing rare disease cohorts.

Infectious

Encompassing viral infections and diseases.

Psychiatric

Spanning psychosis, anxiety and depression.

Musculoskeletal

Representing disorders affecting muscles, bones, and joints.

Hematology

Including platelet disorders and anemia.

Ophthalmologic

From cohorts with glaucoma and macular degeneration.

See the value of DynamiQ insights.

eBook

Marker of the Month | Creatinine

Case Study

Turning back the metabolic aging clock

News & Press

Sapient publishes breakthrough rLC-MS metabolomics study in over 26,000 samples, revealing metabolic aging clock and disease insights

Webinar

Bringing Together Multi-Omics & Real-World Data to Accelerate Insight Delivery for Biomarker Discovery and Drug Development

Media

Technology Networks Features Sapient’s DynamiQ™ Insights Engine

News & Press

Sapient launches DynamiQ™ as its next-generation data insights engine for drug discovery and development

Tell us the questions you want to answer.

We can help you define a bespoke dataset from our multi-omics database alongside a biocomputational plan that delivers rapid time-to-insight to accelerate your study.

Book a Meeting

"*" indicates required fields