BetaIntercept™ T1D
Early detection and longitudinal monitoring of Type 1 Diabetes through beta-cell derived cfDNA.

Intercept IQ™ is a scalable molecular diagnostics platform that powers disease interception across clinical care, research, pharmaceutical development, and population health through a single integrated technology platform.
One Platform. Multiple Disease-Specific Diagnostics.
Every Kihealth diagnostic is built from the same proprietary molecular engine — tuned for a specific disease, patient population, and clinical workflow. Kihealth is a platform company, not a collection of unrelated products.
Early detection and longitudinal monitoring of Type 1 Diabetes through beta-cell derived cfDNA.
Detection and monitoring of progressive beta-cell dysfunction in Type 2 Diabetes.
Blood-based molecular diagnostics for pancreatic cancer and future oncology applications.
Blood-based molecular diagnostics supporting earlier detection of Alzheimer's and future neurodegenerative disorders.
Early detection and longitudinal monitoring of Type 1 Diabetes through beta-cell derived cfDNA.
Detection and monitoring of progressive beta-cell dysfunction in Type 2 Diabetes.
Blood-based molecular diagnostics for pancreatic cancer and future oncology applications.
Blood-based molecular diagnostics supporting earlier detection of Alzheimer's and future neurodegenerative disorders.
Intercept IQ™ powers products across every arm of the Kihealth family.
From pediatric prevention to pharmaceutical development, Intercept IQ™ generates molecular intelligence across the full continuum of care and discovery.
Identify ongoing beta cell injury before clinical diagnosis, enabling earlier intervention and longitudinal monitoring in at-risk pediatric populations.
Detect progressive beta cell dysfunction and support earlier identification of metabolic disease before irreversible pancreatic damage occurs.
Provide clinicians with actionable molecular intelligence that complements traditional biomarkers to improve diagnosis, monitoring, and treatment decisions.
Support large-scale screening initiatives designed to identify individuals at elevated metabolic risk before symptomatic disease develops.
Improve patient selection, risk stratification, and endpoint evaluation for metabolic disease clinical trials.
Support companion diagnostics, therapeutic development, and biomarker-driven clinical research for pharmaceutical partners.
Monitor biological response to GLP-1 therapies using longitudinal beta cell health measurements to complement traditional metabolic assessments.
Track changes in beta cell biology over time to evaluate disease progression and therapeutic effectiveness through serial testing.
Provide investigators with advanced molecular tools for translational research, biomarker discovery, and precision medicine studies.

BetaIntercept™ T1D detects beta-cell derived cfDNA released during ongoing pancreatic injury — a molecular signal that can appear years before autoantibody seroconversion or dysglycemia. For pediatric patients with family history or elevated genetic risk, this creates a window for closer monitoring, earlier education, and intervention before overt disease.

By the time HbA1c is elevated, up to 50% of beta cell function may already be lost. BetaIntercept™ T2D reveals beta cell stress and injury upstream of traditional glycemic markers — allowing clinicians to identify high-risk adults during the prediabetic window when lifestyle, pharmacologic, and metabolic interventions are most effective.

Intercept IQ™ integrates methylation-based molecular signals with traditional biomarkers to give clinicians a fuller picture of underlying disease biology. Results are delivered in a clinician-friendly report with risk stratification, longitudinal trends, and evidence-based interpretation to support real-world clinical workflows.

The Intercept IQ™ platform is designed to operate at population scale. From employer wellness programs to national prevention initiatives, the same core assay supports high-throughput identification of at-risk individuals — enabling health systems and public health agencies to shift resources from late-stage treatment to early intervention.

Intercept IQ™ supports pharmaceutical and academic sponsors with biomarker-driven trial design — from smarter enrollment based on underlying beta cell biology, to longitudinal endpoints that reveal drug effect earlier and more precisely than traditional clinical measures.

As precision medicine reshapes drug development, diagnostics become inseparable from therapeutics. Intercept IQ™ can be adapted to serve as a companion diagnostic — identifying the right patients, validating mechanism of action, and providing pharmacodynamic readouts across development phases.

GLP-1 receptor agonists have transformed metabolic care, but clinicians still lack tools to assess whether therapy is preserving underlying beta cell function. Intercept IQ™ delivers a molecular readout of beta cell status over time — helping personalize dosing, evaluate response, and quantify durable metabolic benefit.

Chronic disease unfolds over years — a single test cannot capture its trajectory. Serial Intercept IQ™ testing plots the biology of disease progression over time, revealing whether a patient is stable, improving, or accelerating toward complications, and quantifying the biological impact of interventions.

Kihealth partners with academic investigators, consortia, and research networks to enable translational science. Intercept IQ™ supports biomarker discovery, mechanistic studies, and multi-center collaborations spanning metabolic, autoimmune, and oncologic disease biology.
Kihealth is building more than a diagnostic test. We are developing a platform designed to generate biological intelligence across prevention, clinical care, therapeutic innovation, research, and population health.
"The future of healthcare will be driven by earlier detection, deeper biological insight, and more informed decision-making. Kihealth intends to help power that future."
BetaIntercept™ integrates methylated insulin gene cfDNA, beta cell secretory reserve, glycemic burden, and islet autoimmunity into a single longitudinal readout — engineered to detect Type 1 Diabetes years before clinical onset in pediatric patients.
The dashboard below shows a simulated pediatric patient case to illustrate how BetaIntercept™ presents results in practice. All values, patient identifiers, and interpretations are hypothetical and shown for demonstration purposes only — not from a real patient.
A 15.0% methylated INS-DNA fraction indicates ongoing apoptosis of pancreatic beta cells. Combined with two positive islet autoantibodies (below), this patient meets criteria for Stage 2 pre-symptomatic T1D — a clinically actionable window for preventative monitoring and early intervention.
Molecular, metabolic, and autoimmune markers reported together with reference ranges, trend, and clinical significance.
Absolute burden of unmethylated insulin gene cfDNA released from dying beta cells — complements methylated fraction.
Endogenous insulin output. Still within range — compensated secretion despite active beta cell loss.
Low-normal, trending down over prior draws — early signal of declining functional beta cell mass.
Mild dysglycemia — subclinical glucose intolerance frequently precedes overt Stage 3 by 12–24 months.
Normoglycemic. Fasting glucose typically remains normal until >80% of beta cell mass is lost.
Positive — most common islet autoantibody. Confirms ongoing autoimmune attack against beta cells.
Positive — high specificity for T1D. Two-antibody positivity carries >70% 10-year progression risk.
Negative. Absence does not exclude progression — monitor annually as ZnT8 can seroconvert late.
Patient position along the standard four-stage T1D progression model — BetaIntercept™ localizes disease years before Stage 3 clinical onset.
Actionable, evidence-based recommendations generated from the composite BetaIntercept™ result.
Confirm Stage 2 T1D staging; discuss disease-modifying options (e.g., teplizumab) and family education.
OGTT every 6 months; consider continuous glucose monitoring for early Stage 3 conversion detection.
Track methylated INS-DNA trend to quantify rate of beta cell loss and response to intervention.
Educate caregivers on early symptoms; ~30% of unmonitored children present in DKA at diagnosis.
Laboratory Director · Kihealth Labs (CLIA #05D2244567) · Report generated June 14, 2026. For research and clinical decision-support use under physician oversight.