01 / CONTEXT
Genetic context, built in
Genotyping is a core component of INTRINSICA® Research program design. Genetic information is studied alongside clinical and phenotypic data to evaluate its contribution to prespecified research questions.
INTRINSICA® Research
Bring genetic context, clinical observations, and change over time into a clearer picture of therapeutic response.
INTRINSICA® Research is a therapeutic-agnostic research platform designed to connect genotyping, longitudinal phenotypic and clinical data, and evidence-linked analytics with investigator-governed study execution.
Built for sponsor-led trials, investigator-initiated studies, and prospective cohorts.
Connected by design
What changes over time? How do participants differ? Which measurements contribute useful information? Does genetic context add insight beyond clinical and phenotypic data?
INTRINSICA® Research brings these questions into a coordinated research framework—connecting participant data, prespecified analyses, investigator decisions, and longitudinal follow-up.
The objective is clear: generate evidence that distinguishes therapeutic response from the performance of the platform used to study it.
The platform
01 / CONTEXT
Genotyping is a core component of INTRINSICA® Research program design. Genetic information is studied alongside clinical and phenotypic data to evaluate its contribution to prespecified research questions.
02 / CONTINUITY
Bring clinical records, measured characteristics, and follow-up observations into a longitudinal view of each participant’s study journey.
03 / TRACEABILITY
Connect analytical outputs to their source data, model versions, and research context—supporting traceability and interpretation.
04 / GOVERNANCE
Support protocol-defined reporting, authorized treatment workflows, participant follow-up, and endpoint assessment while preserving investigator authority.
Three pathways to collaboration
Add biological context to therapeutic evaluation.
Embed INTRINSICA® Research within a sponsor-defined study to connect genotyping, participant characteristics, clinical observations, and follow-up.
Research can examine variation in response, longitudinal patterns, and the incremental contribution of genetic information while keeping therapeutic outcomes distinct from platform evaluation.
Discuss a Sponsor-Led Study ↗Put investigator-led questions at the center.
Develop focused studies around clearly defined hypotheses, participant populations, and endpoints.
INTRINSICA® Research provides a framework for connecting research data, analytical reporting, investigator decisions, and reassessment across the study lifecycle.
Discuss an Investigator-Initiated Study ↗Follow participants. Understand trajectories.
Study how genetic context, measured characteristics, and clinical observations relate to change over time.
Connect baseline characterization with repeated observations and longitudinal endpoint assessment to investigate participant differences and emerging patterns.
Discuss a Prospective Cohort ↗The research journey
Establish the study question, population, endpoints, analytical comparisons, and investigator responsibilities.
Incorporate genotyping alongside baseline clinical and phenotypic information to establish the study’s biological and clinical context.
Bring study data into version-controlled analyses, linking outputs to their sources and prespecified research purpose.
Deliver protocol-defined reports, record investigator decisions, and coordinate authorized study actions and participant follow-up.
Connect repeat observations with longitudinal endpoint assessment, keeping therapeutic response, platform performance, workflow utility, and genetic contribution analytically distinct.
Distinct questions. Clearer interpretation.
01 / RESPONSE
What changes during the study, and how do those changes relate to the therapeutic intervention under investigation?
02 / VALIDITY
How well do platform measurements and analytical outputs correspond to prespecified reference measures and endpoints?
03 / UTILITY
How effectively does the research workflow support reporting, investigator review, authorized actions, and participant follow-up?
04 / CONTRIBUTION
What does genetic information add beyond clinical and phenotypic data alone?
INTRINSICA–ECP is designed to evaluate these questions separately—so findings about a therapy are not mistaken for validation of the platform, and the inclusion of genotyping is not mistaken for proof of its added value.
Scientific discipline, by design
Treatment decisions remain with authorized investigators and treating clinicians within the study protocol.
Research questions, model versions, and analytical comparisons are defined to support consistent evaluation.
Analytical outputs connect to source records, data provenance, and model versions.
The research framework separates platform-generated outputs from independent endpoint assessment.
Genetic information informs prespecified research analyses. It does not independently authorize treatment or establish clinical benefit.
Research partnerships
INTRINSICA® Research welcomes conversations with sponsors, investigators, research institutions, clinical sites, and laboratory collaborators.
Our focus is research that connects biological context with disciplined execution—and produces interpretable evidence about participants, interventions, and the tools used to study them.
Start a Research ConversationAbout INTRINSICA® Research
INTRINSICA® Research is CH Labs’ research initiative.
Our approach brings together genetic context, longitudinal participant data, evidence-linked analytics, and investigator-governed execution to study how people differ—and how those differences relate to outcomes over time.
Therapeutic-agnostic by design, the platform supports research across interventions without assuming that a particular treatment, analytical model, or genetic association will demonstrate benefit.
Our purpose is to make those questions testable, traceable, and distinct.
INTRINSICA® Research is a therapeutic-agnostic research platform designed to integrate genotyping, longitudinal phenotypic and clinical data, evidence-linked analytics, and investigator-governed study execution.
The framework is designed for integration within sponsor-led trials, investigator-initiated studies, and prospective cohorts, with protocol-defined reporting, participant follow-up, and longitudinal assessment.
Yes. Genotyping is a required program capability. Its scientific contribution is evaluated through prespecified comparisons with clinical-only and phenotype-only approaches.
No. Genetic context informs research analyses. Treatment decisions remain within authorized clinical and investigator workflows; genetic outputs do not independently authorize treatment.
The research framework separates both. Studies can evaluate therapeutic response, platform validity, workflow utility, and the incremental contribution of genetic information as distinct questions.
No. Clinical benefit and platform performance are research questions evaluated through study evidence, not presumed from participation or use of the platform.
Let’s connect
Tell us what you want to investigate.
Connect with INTRINSICA® Research to discuss a sponsor-led trial, investigator-initiated study, prospective cohort, or scientific collaboration.