While the vast majority of biomarker discovery to date has focused on genomics, >80% of disease risk stems from non-genetic factors and exposures over time. This molecular landscape has remained largely unexplored, until now.
Sapient’s innovative technologies finally enable rapid, large-scale profiling of metabolite, lipid, and protein biomarkers, which read out dynamic factors influencing health and disease – measuring thousands of biomarkers per sample, across thousands of samples at a time.
Supported by an advanced biocomputational framework for analysis of multi-omics datasets, we deliver data insights to elucidate disease mechanisms, subtype diseases, and ultimately improve the precision and efficacy of therapies.
Identify differentially expressed, disease-modifying, and tractable therapeutic targets that can be acted upon by your drug.
Confirm a target’s role in disease process and/or the effects of pharmacological modulation of the target.
Demonstrate the drug reaches its intended target with measurable binding effect.
Evaluate the biological activity of a drug.
Identify genetic and/or environmental factors that predispose to disease and/or cause disease progression.
Monitor disease status, the occurrence of new disease effects, and/or change in disease severity.
Select patients according to disease-based or drug-based biomarker signatures.
Select patients most likely to respond to a treatment to increase study power while reducing study size.
Assess the presence or extent of toxicity related to an intervention or drug exposure.
Identify predictive biomarkers that identify suitable patients for a treatment.
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