/* global React, DemixViz */
const { Eyebrow, GradientText, Button, Chip, Card, ClaimCeiling } = window.OregonCoastAIDesignSystem_e04d97;
const HERO_COPY = {
problem: {
eyebrow: "Cohort de-mixing · fibromyalgia molecular phenotyping",
head: ["See the subgroups your trial is ", "averaging away", "."],
lede: "A clinically labeled fibromyalgia cohort is rarely one biology. When distinct molecular states are pooled, a real treatment effect is diluted toward the mean — and a working drug can read as a near-miss. We sort the cohort first.",
},
method: {
eyebrow: "Cohort de-mixing · spectral-entropy phenotyping",
head: ["De-mix the cohort. ", "Recover the signal", "."],
lede: "Trace-normalized local-covariance spectral entropy resolves a pooled blood-derived cohort into coarse molecular-state classes — with explicit abstention where the data won't support a call. The structure was always there; we make it legible.",
},
provocation: {
eyebrow: "Cohort de-mixing · fibromyalgia molecular phenotyping",
head: ["Fibromyalgia isn't one disease. Stop ", "analyzing it like one", "."],
lede: "Pooling biologically distinct patients inflates trial noise and blurs the very subgroup your therapy serves best. We resolve the molecular states inside an already-diagnosed cohort — methods-only, evidence-bound, hypothesis-generating.",
},
};
function ReadoutStrip({ r }) {
const Metric = window.OCAMetric;
if (!r) return null;
return (
0.6 ? "var(--success)" : "var(--text-strong)"} />
);
}
function HomeScreen({ onNav, heroVariant = "problem", vizStyle = "ellipsoid", onRequestDemo }) {
const Section = window.OCASection, Wrap = window.OCAWrap, Kicker = window.OCAKicker, SH = window.OCASH, Sub = window.OCASub, Pipeline = window.OCAPipeline, VizLegend = window.OCAVizLegend;
const [r, setR] = React.useState(null);
const copy = HERO_COPY[heroVariant] || HERO_COPY.problem;
const problems = [
["Diluted effect sizes", "Mixing responders with non-responders pulls the group mean toward placebo. A genuine effect in one subgroup looks marginal across the whole arm."],
["False-negative risk", "Heterogeneity is a leading cause of underpowered, ambiguous readouts — the inadvertent shelving of a compound that in fact works in a definable subset."],
["Unstable interpretation", "Without a molecular lens, post-hoc subgroups look like fishing. Pre-registered, structure-aware classes are defensible to reviewers and regulators."],
];
const method = [
["Structured spectral state", "Each blood-derived record becomes a per-sample local covariance operator in the n≪p regime — geometry, not a single score."],
["Verification gate", "Symmetry, positive-semidefiniteness, and positive-trace are checked before any readout. Records that fail the gate abstain rather than guess."],
["Registry-routed reporting", "A cohort-type-conditional layer compares against a platform-matched healthy-control reference and emits a class — or a low-confidence / abstain flag."],
];
return (
SPECTRAL-COVARIANCE STATE SPACE · 2-D PROJECTION{r && r.demixed ? "● de-mixed" : "○ de-mixing"}
Illustrative synthetic cohort · not trial data · figures animate to demonstrate method behavior, not a clinical result.
{/* ---------------- THE PROBLEM ---------------- */}
The technical problemOne label, several biologiesFibromyalgia is often treated as a single condition with one dominant biology. In practice that simplification is expensive: a labeled cohort can carry biologically distinct states whose mixing increases trial noise and blurs the subgroups that matter.
{problems.map(([t, d]) => (
{d}
))}
The first practical need isn't a universal diagnostic — it's a more informative molecular lens that sorts an already-diagnosed cohort into more coherent groupings.
{/* ---------------- THE METHOD ---------------- */}
The methodDe-mixing, gated at every stepThe engine is a registered composition — not a generic classifier. It reports only under verification, calibration, and abstention controls, so what it emits is defensible.
{method.map(([t, d]) => (
{d}
))}
Outputs support cohort de-mixing, stratification, transfer assessment, and study design — each carrying a hypothesis-generating-status flag. Not a diagnosis, severity, or therapy-selection claim.