Demo cases. All live.

A 58-year-old man with chronic kidney disease (stage G3a, diabetic nephropathy), progressing over about a year of quarterly follow-up. The patient supplies his full context: past history, symptoms, medications and diagnosis.

This case shows how the report reads a real chronic disease trajectory — declining kidney function alongside its complications (developing secondary hyperparathyroidism, early anemia of CKD) — while correctly recognising that several other markers that used to be abnormal have improved. It also handles stale results: a number of markers were last measured more than 6–12 months ago.

A 34-year-old woman with progressive, untreated iron-deficiency anemia from heavy menstrual bleeding, followed across five visits over 9 months. No diagnosis is supplied — only her symptoms and bleeding history.

This case shows the platform pulling a dozen deviations into one coherent mechanism rather than listing unrelated flags, while not over-attributing: two side findings (mild hypomagnesemia, a low winter vitamin D) have normalised by the latest visit with no treatment stated in the report — supplement use is neither documented nor ruled out. It also handles stale results: a number of markers were last measured more than 6–12 months ago.

A healthy 30-year-old who came in proactively, tracked over about 15 months of lifestyle change and supplements (weight 86 → 77 kg, BMI 27.1 → 24.3). He started from a suboptimal but not diseased profile — insulin resistance, inflammation and atherogenic lipids all above target — and every current value is now in the optimal range.

This case shows the platform working in a wellness and prevention context: reading direction of travel rather than just pass or fail, and crediting a genuine response to intervention.