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Rapid Field-Deployable Blood Analysis System

Patent Pending

BioCode Red is a next-generation, miniaturized, patch-integrated blood analysis platform engineered to deliver critical biomarker results within seconds. Designed for prehospital and austere settings, BioCode Red provides advanced diagnostic intelligence from a finger-lancet blood drop, transforming how trauma, cardiac events, stroke, sepsis, and poisoning are triaged in the field.

Primary Conditions Detected Pre-Ambulance Arrival

BioCode Red enables early detection and triage of the following critical conditions before EMS arrives:

  • Hemorrhagic Shock – Detected via lactate, hemoglobin, hematocrit, and pH decline.

  • Myocardial Infarction (Heart Attack) – Identified using Troponin, potassium, and CK-MB profiles.

  • Sepsis / Septic Shock – Flagged by elevated lactate, CRP, WBC count, and declining pH.

  • Ischemic or Hypoglycemic Stroke – Differentiated by glucose levels, sodium, and INR.

  • Drug Overdose / Poisoning – pH, potassium, CO₂, and liver markers suggest metabolic crisis.

  • Hyperkalemia-Induced Cardiac Risk – Critical in trauma, renal failure, or crush injury contexts.

  • Respiratory Failure / Acidosis – Detected via pH, CO₂, O₂ saturation, and lactate analysis.

This early warning system empowers autonomous treatment devices, hospital teams, and paramedics to make informed decisions faster than traditional EMS diagnostics.

Technology Descriptions

1. Microneedle + Lab-on-Chip Hybrid Patch

  • Device Type: Flexible polymeric microfluidic patch with embedded hollow microneedles (50–100 μm diameter).

  • Mechanism: Passive capillary wicking, vacuum-assist, or piezoelectric micropump draws 10–50 μl blood.

  • Integration: Microfluidic channels split the sample into isolated test zones, each optimized with pre-loaded dried reagents.

  • Sensor Types:

    • Ion-selective electrodes (Na⁺, K⁺, Ca²⁺, Cl⁻)

    • Enzyme-linked electrochemical sensors (Glucose, Lactate)

    • Plasmonic nanostructures (CRP, Troponin)

    • pH-ISFET and micro-optical gas sensors (pH, CO₂)

2. BioCode ASIC

  • Purpose: Ultra-low power, embedded chip designed to drive detection signal acquisition and pre-processing.

  • Features:

    • Multiplexed ADC and signal conditioning

    • On-chip microcontroller with AI co-processor

    • Wireless (BLE/LoRa) + near-field communication for 911 Phone sync

3. Embedded Data AI Layer (911 AI Core)

  • Real-time biomarker analysis using functional medicine interpretation logic and emergency triage rules.

  • Trained on high-resolution datasets (trauma outcomes, sepsis progression, cardiac events).

  • Output: actionable classifications (e.g., Hyperkalemia-Induced Arrhythmia Risk: HIGH).

4. 911 TriageNet Sync

  • Secure, encrypted cloud layer routes results to:

    • Trauma centers

    • Ambulance teams

    • Surgical and ICU staff

  • Includes API integration with EHR (HL7 / FHIR compatible).

Target Biomarkers & Test Parameters

Glucose

Enzyme-electrochemical chip, 30–60 sec,~5 μl

Diabetic coma, stroke mimic

Lactate

Electrochemical sensor, 1–3 min, ~10 μl

Occult shock, sepsis

Potassium (K⁺)

Ion-selective electrode, 2–3 min,~10 μl

Hyperkalemia, crush injury

Hemoglobin/Hematocrit

Optical or colorimetric,1–2 min, ~5–10 μl

Blood loss, anemia

Troponin

Immunoassay chip, 3–5 min,~20 μl

Myocardial infarction

 

CRP

Plasmonic chip, 3–5 min, ~20 μl

Infection, trauma inflammation

WBC Count

Impedance cytometry chip, 2–3 min, ~10 μl

Infection/sepsis detection

pH / CO₂

ISFET + micro-optical sensors, 2–4 min, ~15 μl

Respiratory failure, shock evaluation

PT / INR

Clot-time analyzer chip, 3–5 min,~20 μl

Coagulopathy, anticoagulant OD

Alignment & Partnership Potential

Purple Patch Active Bandage

Patch module integrates beneath protective layer, auto-draws blood

CardioPoint

Correlates K⁺, pH, Troponin with stimulation protocols

AortaPoint

Adjusts oxygenation based on lactate and pH sensors

911 Phone

Direct UI + AI interpretation + voice-assist + remote consult

911 Informatics Kiosk

Receives, logs, displays triage markers; routes patient by severity

Software Stack Overview

BioCode OS Modules

  • Sample Interpretation Engine: Translates raw sensor input into clinical-grade data

  • Functional Threshold Logic: Based on Blood Logic-style optimal ranges

  • Triage AI Core: Prioritizes emergent alerts (e.g., hemorrhage, sepsis)

  • Sync/Transmit API: Secure connection to 911 TriageNet and hospital EMR systems

  • Learning Layer: Continuously improves triage accuracy based on outcome-linked data

 From Drop to Decisions in Seconds...

Contact Us

616-848-8526 :: research@DTC-intl.com

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