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2026

Issue #016 — Incremental value becomes the test: 67 features lose to one direct question, HRV adds modest signal, and EDIT-B survives external validation.
Issue #015 — Context becomes the test: exercise triggers false stress alarms, psychosis speech markers depend on the elicitation task, and an inpatient wearable rollout finds that technically feasible is not clinically adopted.
Issue #014 — The week the field measured across the boundary: a cross-linguistic benchmark where word count beat 50 rival metrics, a suicide-attempt model validated on seven held-out sites at AUC 0.75, and a scoping review that found only ten studies exist.
Issue #013 — The window reopens: seven in-window results land at once, and the field starts building for generalization — a domain-adversarial detector, a wearable-plus-MRI fusion at AUROC 0.867, and a model-card framework — while five more states go their own way on AI therapy.
Issue #012 — Relapse becomes the frontier: two independent 2026 reviews map AI for predicting psychiatric relapse and land at modest AUCs, while a 95-study scoping review calls the whole LLM-in-mental-health field 'nascent and exploratory.'
Issue #011 — A quiet in-window week, so three catch-up audits — a 105-study speech meta-analysis, a 42-study passive-sensing scoping review, and an LLM mental-health safety benchmark — widen the measurement-discipline thesis across three modalities at once.
Issue #010 — The in-window window finally produces its own story: two digital-phenotyping papers land six days apart — a Nature Mental Health comment celebrating the promise of early adolescent depression detection, and a 47-study Frontiers systematic review finding that methodological heterogeneity still blocks its translation.
Issue #009 — A fourth quiet in-window week, so three 2026 audits of the wearable-biomarker literature converge on one uncomfortable verdict: no single signal is diagnostic, passive sensing is population-level not clinical, and the leaderboards ranking detection models are unstable.
Issue #008 — A quiet in-window week, so three catch-up results converge on one theme: the modality, the validation gap, and the LLM that decide whether detection survives contact with real patients.
Issue #007 — At WHA79, suicide-prevention bodies open a WHO-level front on AI and youth safety, pressing a 'warm handoff to a trained person, not a disclaimer' standard as the global axis the newsletter had not yet tracked.
Issue #006 — The EU AI Act's high-risk classification guidelines enter open consultation, giving mental-health detection tools their first read on Brussels' rules just as they layer atop the Medical Device Regulation.
Issue #005 — JAMA Pediatrics puts a peer-reviewed number on the demand side: ~20% of US youth now use AI chatbots for mental-health advice, and 63% hide it.
Issue #004 — Drexel's 'bond paradox' pins down when AI-companion use turns harmful, while a national review finds only 3 of ~800 state AI bills became mental-health law.
Issue #003 — The Lancet's GBD 2023 update lands 1.2B globally with anxiety up 158% since 1990, and Spring Health's VERA-MH crystallises as the open-source safety benchmark The Path used to anchor its $14.3M launch.
Issue #002 — Mpathic's clinician-built safety benchmark exposes frontier-model blind spots, npj Digital Medicine lands the first dedicated chatbot-management meta-analysis, and bipolar digital phenotyping calls for standardized 'digital signatures.'
Issue #001 — Verily's mental-health guardrail and PsychiatryBench arrive at npj Digital Medicine, an Oura-Ring study links passive measures to next-day panic attacks, and Utah's HB 452 gets its first formal post-mortem.
Baseline — the state of human behavioral analysis for early identification of mental health conditions

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Isuru Gunarathne
17
Software engineer & researcher

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Isuru Gunarathne