Factor Analysis & Modeling Across
Complex Biological & Quantitative Systems
Applying quantitative time series decomposition, latent factor analysis, and cross-modality synthesis to multi-decade clinical blood chemistry, quantitative MRI imaging, and high-frequency wearable sensor telemetry.
Clinical Laboratory Biomarkers
Longitudinal standardization and normalization of 250+ laboratory analytes spanning lipid subfractions, apolipoproteins (ApoB, Lp(a)), inflammatory markers (hs-CRP), metabolic panels, liver enzymes, and hematology.
Quantitative MRI & Imaging
Voxel-level magnetic resonance imaging inputs, including Proton Density Fat Fraction (PDFF) liver steatosis quantification, visceral vs. subcutaneous adipose tissue volumetric segmentation, and vascular echo dynamics.
Continuous Wearable Telemetry
High-frequency intraday Ōura Ring biometrics: 5-minute autonomic heart rate variability (rMSSD), circadian pulse trajectory, sleep architecture hypnograms, and nocturnal skin temperature deviation.
Factor Analysis of Traditional Health & Laboratory Data
Traditional blood tests generate isolated univariate measurements that often mask interconnected systemic processes. Our quantitative framework applies Principal Component Analysis (PCA), Independent Component Analysis (ICA), and dynamic factor models to isolate latent biological vectors:
| Latent Factor | Primary Clinical Constituents | Biological & Quantitative Objective |
|---|---|---|
| Atherogenic Particle Burden | ApoB, LDL particle count, non-HDL-C, total triglycerides | Isolating true circulating atherogenic particle concentrations from surrogate cholesterol mass measurements. |
| Systemic Inflammatory State | High-sensitivity C-reactive protein (hs-CRP), ferritin, fibrinogen | Extracting low-grade basal vascular inflammation and subclinical immune activation independent of acute transients. |
| Glycemic & Insulin Sensitivity | HbA1c, fasting glucose, fasting insulin, HOMA-IR index | Quantifying early-stage hepatic and peripheral insulin resistance decades before diagnostic threshold crossings. |
| Hepatorenal Clearance Capacity | ALT, AST, GGT, eGFR (CKD-EPI), cystatin-C, BUN/creatinine | Multi-analyte composite indexing of metabolic filtration, hepatic parenchymal integrity, and toxin excretion. |
MRI Imaging & Tissue Volumetrics
Cross-sectional imaging provides precise structural ground truth that calibrates biochemical blood markers:
- Liver Proton Density Fat Fraction (PDFF): Accurate quantification of intrahepatic triglyceride accumulation to benchmark against circulating ALT/AST transaminases.
- Visceral Adiposity (VAT): Deep intra-abdominal fat segmentation, directly correlated with systemic inflammatory factors and atherogenic dyslipidemia.
- Myosteatosis & Sarcopenia: Quantifying skeletal muscle intermuscular fat infiltration to evaluate metabolic sink capacity.
Cross-Modality Time Series Fusion
Synthesizing disparate temporal resolutions into a unified analytical schema:
- Continuous (5-Min): Autonomic recovery kinetics, nocturnal HRV, and circadian nadir from Ōura Ring sensors.
- Semi-Annual (Discrete): Comprehensive 80+ marker diagnostic blood draws (Labcorp and Quest Diagnostics).
- Multi-Year (Structural): High-resolution MRI voxel imaging and coronary calcium scoring.
Security & Local-First Architecture
All analytical pipelines, factor transformations, and data stores operate strictly in an offline, local-first computing environment. Personal health records, lab results, and wearable streams are never stored on public cloud servers, shared with external third parties, or monetized.
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