The Need for Better Diagnostic Tools

Modern healthcare relies on a wide range of diagnostic tools — fingersticks for diabetes, laboratory venous draws for metabolic panels, inflatable cuffs for blood pressure, and chemical dipsticks for urinalysis. These methods can be invasive, fragmented, and difficult to integrate into continuous monitoring routines.

Diabetes & Glycemic Instability

More than 38 million Americans and over 800 million individuals worldwide live with diabetes. Many patients struggle with consistent monitoring due to discomfort, cost, and maintenance requirements associated with needles and sensor replacements.

Cardiovascular & Renal Disease

Hypertension, dyslipidemia, and chronic kidney disease often require frequent or continuous monitoring. Traditional methods may miss rapid physiological changes and can be challenging for patients to maintain long‑term.

Lag & Adhesive Complications

Existing continuous sensors measure interstitial fluid rather than direct blood volume, introducing physiological lag. Adhesive‑based systems may also cause dermatological reactions in some individuals.

Note: The above figures and the issues, reflect public health statistics and clinical challenges in the broader market, not performance claims about CoraLuma’s investigational platform.

THE CORALUMA APPROACH: A COMPREHENSIVE INVESTIGATIONAL PIPELINE

In Vivo Hemodynamic & Cardiopulmonary Domain (Research Objectives)

By isolating the continuous dynamic photoplethysmography (PPG) waveform, our digital signal processing algorithms are designed to track comprehensive cardiopulmonary and hemodynamic parameters:

    • Hemodynamics & Vascular Health: Investigating continuous, cuffless Arterial Blood Pressure (Systolic, Diastolic, and Mean Arterial Pressure) utilizing a 4th-derivative mathematical acceleration model (APPG) to actively map morphological wave components without pneumatic cuffs. The system extracts extrema amplitudes to calculate the Vascular Aging Index (AGI) and evaluates frequency-domain Harmonic Area Ratios to continuously track Stroke Volume (SV) and Cardiac Output (CO).
    • Advanced Vital Signs & Autonomic Tone: Exploring dual-domain extraction of Respiratory Rate (RR) utilizing adaptive digital notch filtering. We are advancing continuous Heart Rate (HR) and Heart Rate Variability (HRV) metrics (SDNN, RMSSD), which are projected into a proprietary Poincaré Autonomic Map engine for real-time arrhythmia detection and autonomic nervous system profiling.
    • Metabolic Metrics & Oxygenation: Developing Multi-Wavelength Covariance Fusion (MWCF) frameworks to target fractional peripheral oxygen saturation (SpO₂) without legacy empirical ratioing. Additional targets include mitochondrial Cytochrome C Oxidase (CCO) redox states and Transcutaneous Carbon Dioxide (pCO₂), isolated via subtle bicarbonate buffering shifts of the hydrogen-bonded water envelope near 1400 nm.

In Vivo Metabolic, Chemometric & Toxicology Domain (Research Objectives)

By orthogonalizing the pulsatile AC signal from the static tissue baseline, CoraLuma aims to perform reagent-less, continuous intravascular profiling of critical blood chemistry:

    • Glycemic & Metabolic Panels: Targeting glucose, lactate, ketones (-hydroxybutyrate), and glycated hemoglobin (HbA1c) utilizing overtone and combination absorption peaks (e.g., 1050 nm, 1550 nm, 1610 nm, 1650 nm) explicitly resolved and orthogonalized against the massive physiological water envelope.
    • Exogenous Toxicology & Intoxicants: A primary research objective targets the continuous, non-invasive detection of illicit narcotics and intoxicants. By utilizing derivative chemometrics to optically decouple sharp combination band curvatures from hydration shifts, the system aims to map Alcohols (Ethanol/Methanol), Tropane Alkaloids (Cocaine), Amphetamines, and Opioids/Cannabinoids to generate real-time emergency triage alerts.
    • Lipid, Renal & Adipose Indices: Engineering algorithms to quantify Lipid Panels (Total Cholesterol, HDL, LDL, VLDL, Triglycerides) alongside continuous tracking of Blood Urea Nitrogen (BUN) and Creatinine ratios. Development goals include extracting Total Adipose Tissue (TAT) and systemic Body Fat Percentage (BFP) by computing spatial scattering optical gradients across the 6-3-9 probe geometry.

In Vitro Static Fluid Caliper Domain (Research Objectives)

For stationary laboratories and decentralized triage, CoraLuma is developing a modular architecture (System 4) designed to analyze static biological fluids.

    • Comprehensive Blood Matrix: Aims to evaluate whole blood and plasma for metabolic markers, lipid panels, renal indices (BUN, Creatinine, ACR), and toxicological screening using fixed-path-length microcapillary arrays.
    • Reagent-Less Urinalysis & Optical Culture: Investigating the optical quantification of Urea, Creatinine, Microalbuminuria, and Bilirubin without chemical consumables. The digital signal processing core executes a tripartite feature extraction sequence for active bacterial infections, quantifying macroscopic cellular turbidity alongside the absorption signatures of nitrites and leukocytes.
    • Urine SWIR Toxicology: Executing Orthogonal Signal Correction (OSC) to mathematically suppress baseline urea and water scattering matrices, optically isolating highly concentrated narcotic metabolites excreted in urine (including benzoylecgonine, methamphetamine, opiates, and THC) for instantaneous, reagent-less drug screening.

These represent forward‑looking development goals, not FDA‑cleared diagnostic claims.