Life Sciences & Biotech
Helix Explorer
Build and analyze research cohorts in minutes
Unleash the power of linked clinico-genomic data in a secure and integrated easy-to-use platform. Quickly build and monitor targeted cohorts to drive research insights and accelerate innovation
Build and Explore longitudinal clinico-genomic cohorts to drive research
A comprehensive tool designed to explore and build targeted clinico-genomic patient cohorts from longitudinal clinical data and deep Exome+ sequencing from a diverse population of >330k consented individuals. Coupling a user-friendly interface, with advanced filtering and visualization capabilities, Explorer enables researchers to quickly build and monitor patient cohorts of interest, thereby reducing time-to-insight and optimizing resource allocation to increase life sciences research efficiency.
Explore and Optimize
Create custom cohorts utilizing clinical, genomic, demographics criteria in minutes
Track Growth
Monitor projected cohort growth trends to plan for target size thresholds
Ease of Use
Easy to use interface and ingrained connectivity with Helix experts to support every step of the way
How Explorer Works

Build and Define
Apply your inclusion and exclusion criteria for your cohort of interest using clinical, genomic and demographic parameters in a simple drag and drop interface

Cohort Demographics
Up-to-date patient counts and profiling of targeted populations of interest by age, gender, race, ethnicity and many more pre-built visualizations

Health and Genetic Insights
Visualizations to capture key clinical criteria, including concurrent diagnoses & medications, and gene/variant summary tables

Manage multiple cohorts
All cohorts are listed and saved in individual accounts allowing researchers to efficiently and dynamically monitor growth trends.
Explorer is designed to answer key research questions
What is the patient count for a specific indication or broader therapeutic area ?
Build and define your clinical criteria by phenotype, genotype or a combination through an easy to understand and use interface. No knowledge of medical coding systems needed.
What are the top 10 medications related to a particular diagnosis?
Drill down into the clinical criteria and explore the most prescribed medications to evaluate treatment options.
Analyze genetic variants associated with a target gene in a target population
Evaluate genes categorized by high value genetic variants along with functional impact, pathogenicity and more.
Evaluate and profile a population subset diagnosed with a particular condition
Define inclusion/exclusion criteria and pair with clinical condition/s, labs, etc. to analyze diagnosis and treatment regiments across different age, gender and ethnic groups.