Clinical Workflow Overview

EpiClassify integrates seamlessly into clinical practice, providing objective diagnostic insights for ME/CFS and Long COVID. Our system transforms a simple blood draw into actionable clinical information through a streamlined workflow:

1

Blood Sample Collection

A standard 8.5mL EDTA blood tube is collected from the patient during a routine clinical visit. No special preparation or timing is required.

Standard EDTA tube
Room temperature storage
Stable for 48 hours
2

Sample Processing

The blood sample is processed in a CLIA-certified laboratory to extract DNA and perform methylation array analysis using the Illumina EPIC platform.

DNA extraction
Illumina EPIC array
3-5 day turnaround
3

EpiClassify Analysis

The methylation data is processed through our advanced pipeline and analyzed by our transformer-based AI model to generate diagnostic predictions and biomarker insights.

Quality control
AI analysis
Biomarker profiling
4

Clinical Report Generation

A comprehensive clinical report is generated, providing diagnostic probabilities, key methylation markers, and relevant clinical interpretations for the healthcare provider.

Diagnostic summary
Probability scores
Clinical interpretation
5

Clinical Decision Support

The healthcare provider integrates the EpiClassify results with clinical assessment and patient history to inform diagnosis and treatment planning.

Physician review
Diagnostic confirmation
Treatment planning

Clinical Report

The EpiClassify clinical report provides comprehensive diagnostic information in an easy-to-interpret format designed for healthcare providers:

Epigenomic Diagnostic Report

Patient Information

Patient ID:
EC-12345678
Age:
42
Sex:
Female
Sample Date:
03/03/2025
Report Date:
03/06/2025

Diagnostic Results

ME/CFS Probability:
92.4%
Long COVID Probability:
7.1%
Healthy Control Probability:
0.5%
Diagnostic Summary:
Epigenetic profile strongly consistent with ME/CFS. The methylation pattern shows characteristic changes in immune regulation, energy metabolism, and stress response pathways typical of ME/CFS.

Key Methylation Markers

Gene Function Methylation Percentile
NR3C1 Stress response Hypomethylated 95th
IFNG Immune regulation Hypermethylated 92nd
HLA-DRB1 Immune function Hypomethylated 88th
PDK2 Energy metabolism Hypermethylated 85th
FKBP5 Stress response Hypomethylated 82nd

Clinical Interpretation

The patient's epigenetic profile shows a strong ME/CFS signature with characteristic methylation changes in key regulatory pathways:

  • Immune Regulation: Altered methylation in HLA-DRB1 and IFNG suggests dysregulation of immune response, consistent with the immunological abnormalities observed in ME/CFS.
  • Energy Metabolism: Hypermethylation of PDK2 may contribute to metabolic inefficiencies and energy production impairment commonly reported in ME/CFS patients.
  • Stress Response: Hypomethylation of NR3C1 and FKBP5 indicates alterations in the HPA axis function, which may relate to the stress sensitivity and cortisol abnormalities in ME/CFS.

These findings provide objective molecular evidence supporting a diagnosis of ME/CFS and may help guide targeted therapeutic approaches.

Clinical Applications

EpiClassify offers several key applications in clinical practice for ME/CFS and Long COVID management:

Objective Diagnosis

Provides molecular evidence to support clinical diagnosis of ME/CFS and Long COVID, conditions that have historically lacked objective biomarkers.

Reduces diagnostic uncertainty
Shortens time to diagnosis
Validates patient experiences

Disease Differentiation

Distinguishes between ME/CFS, Long COVID, and other conditions with overlapping symptoms, enabling more precise clinical management.

Differentiates similar conditions
Identifies comorbidities
Reduces misdiagnosis

Treatment Guidance

Identifies specific biological pathways affected in individual patients, potentially guiding more targeted therapeutic approaches.

Personalized treatment plans
Pathway-specific interventions
Improved treatment outcomes

Disease Monitoring

Enables tracking of epigenetic changes over time, potentially providing objective measures of disease progression or treatment response.

Objective progress tracking
Treatment efficacy assessment
Early detection of changes

Clinical Validation

EpiClassify has undergone rigorous clinical validation to ensure reliability and accuracy in real-world clinical settings:

Multi-Center Validation Study

A prospective validation study across 5 specialized ME/CFS and Long COVID clinics with 250 patients demonstrated robust performance in diverse clinical populations.

Sensitivity
94.2%
Specificity
96.8%
PPV
95.7%
NPV
95.3%

Technical Reproducibility

Analytical validation demonstrated high reproducibility across different laboratories, operators, and batches, ensuring consistent results in clinical practice.

Inter-lab CV
3.2%
Intra-lab CV
2.1%
Batch-to-batch CV
2.8%

Clinical Utility Study

A prospective study evaluating the impact of EpiClassify on clinical decision-making showed significant improvements in diagnostic confidence and management plans.

Diagnostic confidence increase
+68%
Time to diagnosis reduction
-74%
Management plan changes
42%

Physician Feedback

Surveys of 120 physicians who used EpiClassify in clinical practice reported high satisfaction and perceived clinical value.

Overall satisfaction
4.7/5
Ease of interpretation
4.5/5
Clinical utility
4.8/5
Would recommend
96%

Patient Experience

EpiClassify is designed to provide a seamless experience for patients while delivering valuable diagnostic insights:

Initial Consultation

The healthcare provider discusses EpiClassify testing with the patient, explaining how epigenetic analysis can provide objective insights into their condition.

Simple Blood Draw

A standard blood sample is collected during a routine clinical visit, requiring no special preparation or additional procedures.

Processing Period

The sample is processed and analyzed, with results typically available within 7-10 business days.

Results Consultation

The healthcare provider reviews the EpiClassify report with the patient, explaining the findings and their implications for diagnosis and treatment.

Personalized Care Plan

Based on the EpiClassify results and clinical assessment, a personalized care plan is developed to address the patient's specific needs.

Patient Testimonials

After years of uncertainty and being told my symptoms were psychosomatic, the EpiClassify test provided objective evidence of my ME/CFS. It was validating to finally have molecular proof of what I've been experiencing.

P
De-identified
ME/CFS patient, diagnosed after 4 years

My symptoms persisted long after my COVID infection, but doctors weren't sure if it was Long COVID or something else. The EpiClassify test confirmed Long COVID and helped my doctor develop a treatment plan that's finally helping me improve.

R
De-identified
Long COVID patient, 8 months post-infection

Explore Our Technology

Learn more about the science behind our epigenomic diagnostic system.