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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

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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

01

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.

02

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.

03

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.

04

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.

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