$TRI
$TRI 🧠📈 STRONG CLINICAL VALIDATION FROM US VA TRIAL
This is a meaningful step forward for
$TRI , backed by real clinical data from one of the most demanding real-world healthcare settings: the US Veterans Affairs (VA) system.
$TRI has delivered positive, clinically meaningful results from its mental health trial conducted with the Greater Los Angeles Research and Education Foundation (GLAVREF) and the VA Greater Los Angeles Healthcare System, evaluating its single-lead ECG algorithm for detecting a current Major Depressive Episode (cMDE) in veterans.
The headline result matters:
👉 97% sensitivity for cMDE detection using just a single ECG lead, validated against the clinical gold standard MINI interview.
That level of sensitivity is impressive on its own — but even more so given this was achieved using only heart rate and heart rate variability (HR & HRV) data, without subjective questionnaires or added clinical burden.
Some important context from the trial:
• 57 of 60 veterans included in final analysis
• Real-world cohort with complex, overlapping conditions
• 58.3% prevalence of cMDE
• 72% co-existing PTSD
• 77% anxiety disorders
• High rates of sleep disturbance.....exactly the population where early detection is most difficult and most needed
Despite this complexity, the results held up strongly:
• Single-lead algorithm sensitivity: 97% (CI 84–100%)
• Single-lead algorithm specificity: 64%
• MEB-001 sensitivity: 88%
• MEB-001 specificity: 68%
Notably, the single-lead algorithm performs in line with ..... and in some cases better than MEB-001, while requiring only one ECG channel. From a commercial perspective, that simplicity is a big advantage for scalability, cost and adoption.
This isn’t a one-off data point either. The VA results are consistent with prior Phase 2 testing across 295 independent datasets, reinforcing the robustness and repeatability of the technology
Strategically, this is where the opportunity opens up:
• Seamless integration into existing VA sleep clinic workflows
• No additional equipment or operational complexity
• Supports earlier identification of at-risk patients
• Enables population-level mental health screening
• Strong alignment with VA and US Department of Defense priorities
As the Principal Investigator noted, this approach leverages data already collected in routine sleep studies to identify mental health symptoms in patients who may otherwise go undiagnosed.
In simple terms:
👉 TrivarX is adding an objective mental-health screening layer on top of existing clinical infrastructure.
For a global mental health system that is under-resourced, over-stretched and still heavily reliant on subjective screening, that differentiation matters.
$TRI continues to build its case the right way — with clinical data, real-world validation, and clear pathways to scalable adoption.
DYOR — not financial advice