Ablation studies are the backbone of rigorous ML research, but most papers get them wrong. Here's how to design experiments that actually answer the right questions — and convince reviewers you know what you're doing.
Why would your heartbeat tell you anything about your blood sugar? The surprising physiological mechanisms linking cardiac electrical activity to glycemic state — and why this relationship is harder to model than it looks.
MIMIC-IV is one of the most powerful clinical datasets available — and one of the most frustrating. BigQuery schemas, temporal alignment pitfalls, pharmacological confounding, and the leakage traps nobody warns you about.
Deploying ML on ESP32 and embedded hardware sounds like a downgrade. In medical AI, the constraints of edge deployment — low power, no cloud dependency, sub-10ms latency — are exactly what make a device trustworthy.