
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:
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Hemorrhagic Shock – Detected via lactate, hemoglobin, hematocrit, and pH decline.
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Myocardial Infarction (Heart Attack) – Identified using Troponin, potassium, and CK-MB profiles.
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Sepsis / Septic Shock – Flagged by elevated lactate, CRP, WBC count, and declining pH.
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Ischemic or Hypoglycemic Stroke – Differentiated by glucose levels, sodium, and INR.
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Drug Overdose / Poisoning – pH, potassium, CO₂, and liver markers suggest metabolic crisis.
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Hyperkalemia-Induced Cardiac Risk – Critical in trauma, renal failure, or crush injury contexts.
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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
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Device Type: Flexible polymeric microfluidic patch with embedded hollow microneedles (50–100 μm diameter).
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Mechanism: Passive capillary wicking, vacuum-assist, or piezoelectric micropump draws 10–50 μl blood.
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Integration: Microfluidic channels split the sample into isolated test zones, each optimized with pre-loaded dried reagents.
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Sensor Types:
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Ion-selective electrodes (Na⁺, K⁺, Ca²⁺, Cl⁻)
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Enzyme-linked electrochemical sensors (Glucose, Lactate)
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Plasmonic nanostructures (CRP, Troponin)
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pH-ISFET and micro-optical gas sensors (pH, CO₂)
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2. BioCode ASIC
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Purpose: Ultra-low power, embedded chip designed to drive detection signal acquisition and pre-processing.
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Features:
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Multiplexed ADC and signal conditioning
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On-chip microcontroller with AI co-processor
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Wireless (BLE/LoRa) + near-field communication for 911 Phone sync
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3. Embedded Data AI Layer (911 AI Core)
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Real-time biomarker analysis using functional medicine interpretation logic and emergency triage rules.
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Trained on high-resolution datasets (trauma outcomes, sepsis progression, cardiac events).
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Output: actionable classifications (e.g., Hyperkalemia-Induced Arrhythmia Risk: HIGH).
4. 911 TriageNet Sync
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Secure, encrypted cloud layer routes results to:
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Trauma centers
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Ambulance teams
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Surgical and ICU staff
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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
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Sample Interpretation Engine: Translates raw sensor input into clinical-grade data
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Functional Threshold Logic: Based on Blood Logic-style optimal ranges
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Triage AI Core: Prioritizes emergent alerts (e.g., hemorrhage, sepsis)
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Sync/Transmit API: Secure connection to 911 TriageNet and hospital EMR systems
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Learning Layer: Continuously improves triage accuracy based on outcome-linked data
From Drop to Decisions in Seconds...