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Clinical Trial Matcher — Patient Similarity (2D)

2D canvas companion to the 3D matcher: the same weighted-euclidean similarity model scores a synthetic patient against six trial eligibility profiles in real time, drawn as a bar-ranked list plus a per-criterion breakdown panel.

AI & Machine Learning2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

This 2D companion runs the exact same scoring model as the 3D original on a plain canvas view built for reading the numbers rather than orbiting a scene: a side panel exposes the patient's age, two biomarkers, condition stage, comorbidity flags and trial-strictness tolerance, a ranked bar list shows every trial's hard-gate eligibility and weighted-euclidean similarity score updating live as sliders move, and clicking any row opens a per-criterion breakdown showing exactly how much each feature — age, biomarker A, biomarker B, stage — contributed to that score and at what weight, making the model's reasoning inspectable instead of just its output.

⚙ Under the hood

2D canvas clinical-trial matcher: a weighted-euclidean similarity score against six synthetic trial target profiles, gated by real hard eligibility criteria (age/stage range, biomarker thresholds, comorbidity exclusions), with a click-through per-criterion breakdown panel.

clinical trial matchingpatient similarityeligibility criteriaweighted euclidean distanceprecision medicine

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install