CrisisCore Systems unveiled a new chapter in its build log, shifting from a single‑signal model that only caught pain flares to a multi‑modal framework that can spot panic attacks, dissociation, and sensory overload. The team mapped distinct behavioral signatures—chaotic navigation for panic, extended inactivity for dissociation, rapid preference changes for overload—so the app can trigger the right response. A user’s complaint that the app missed a panic attack highlighted the gap: pain flares look nothing like a sudden spike in heart rate or frantic taps.

To test the system, the developers built synthetic scenarios that mimic each crisis state, then ran automated tests to confirm the detector flags the correct type and ignores normal exploration. They also introduced personalized thresholds that adjust for conditions like ADHD, ensuring fast navigation doesn’t trigger false alarms. Finally, a user‑configurable profile lets patients describe their own crisis cues, giving the algorithm signals it would otherwise miss.

This layered approach promises a privacy‑first, offline health tool that reacts when help is truly needed, not just when data spikes.