Select a patient to review their risk assessment and treatment plan, or add a new patient.
Edit any field, then click Assess to calculate risk.
This 46-year-old South Asian male appears clinically healthy — normal BP (110/70), normal BMI (24), normal A1c (5.5%), non-smoker. A standard PCE would calculate low 10-year risk, and most guidelines would recommend no intervention. But South Asians develop coronary artery disease a decade earlier, at lower BMI thresholds, and with higher rates of atherogenic dyslipidemia (LDL 130 with likely small dense particles). The standard PCE systematically underestimates risk in this population. Our platform applies Mantri et al. SA calibration to reveal hidden risk, demonstrating why population-aware risk assessment matters even for apparently healthy patients.
Pooled Cohort Equations (2013 ACC/AHA) with race-specific coefficients.
Calculating risk...
Same clinical profile — comparing risk across race-specific coefficients.
Computing comparison...
Evidence-based interventions ranked by predicted BP reduction for this specific patient profile.
Querying evidence base...
Literature-reported side effects for each recommended intervention, ranked by incidence and severity.
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Relative risk of major cardiovascular events (stroke, heart failure, CHD, mortality) from clinical endpoint trials.
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Predicted BP trajectory with the optimal treatment stack, including Monte Carlo confidence simulation.
Running simulations...
Run a combined forecast first.
Probability of meeting blood pressure requirements for FAA pilot and DOT commercial driver certification, based on Monte Carlo simulation of the treatment plan.
Real patients have real constraints. The platform re-optimizes the treatment stack around what the patient can and will do.
For each recommended intervention, select what the patient is willing to do. The platform will re-optimize around these constraints.
The platform re-runs the forecast with modified interventions and adds compensatory therapies to close the gap:
Each intervention in the adjusted plan is backed by specific studies from our evidence database. Here we show the research supporting each recommendation, including how effects were modified for this patient's constraints.
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Top food choices at major U.S. airports that align with the patient's recommended DASH + sodium reduction pattern. Advisory only — supports BP-conscious food choices; see your AME for FAA medical certification guidance.
Choose your concourse and goal. Showing verified items first.
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Lower-impact choices between flights. Sugar warnings stay visible.
Ingredients from build-your-own restaurants. Use these to compose a lower-sodium meal; components are not standalone meals.
High-sodium, high-sugar, fried, or processed-meat items at the selected airport, with a quick fix or a better choice at the same restaurant.
Full directory, grouped by restaurant. Estimated nutrition is demoted below verified rows.
These airport venues are represented in the roster but do not yet have usable nutrition data. They are shown for completeness and excluded from ranked recommendations.
Snacks and meals served by the patient's airline, scored against the same DASH+sodium pattern. Per-package values are FDA-mandated and consistent across SKUs supplied to airlines.
Typical pilot crew-layover hotels at the selected airport. Each card shows bathroom (shower/tub), fitness center + equipment, and the on-site restaurant scored with the same DASH+sodium pattern as airport restaurants. Most hotel restaurants do not publish nutrition; modeled estimates are flagged.
Sorted by record confidence. On-airport properties bubble up where applicable.
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The same evidence engine that drives the clinician + patient views, reshaped for plan operations. Per-member intervention response, projected event-reduction yield, and a one-click outreach signal.