Collaboration

DT4H collaborates across clinics, hospitals, universities, and platform partners.

Collaboration focuses on longitudinal validation, clinician mental-model capture, cohort-aware modeling, ArenaK signal generation, and SETPOINT execution feedback.

Collaboration map #

CLINICSCare Reality

Workflows · histories · follow-ups · interpretation

DT4HModel Infrastructure

Cohorts · Twins · calibration · runtime state

UNIVERSITIESValidation

Research design · evidence · reproducibility

SETPOINTExecution

Protocols · practices · outcomes · feedback

Partner pathways #

01

Clinician partners

Review longitudinal workflows, care context, and mental-model capture.

02

Hospital partners

Support population context, care pathways, and longitudinal validation environments.

03

University partners

Evaluate runtime validation, cohort methods, ArenaK labs, and research protocols.

04

SETPOINT partners

Validate execution loops, practices, outcomes, and recalibration feedback.

05

ArenaK partners

Generate high-frequency adaptive behavioral signals through gameplay/lab workflows.

06

Platform partners

Support deployment, governance, observability, and runtime infrastructure.

LayerGovernance Framework
StatusActive Draft
SystemDT4H / StateK / SETPOINT
BoundaryInfrastructure, not diagnosis
System lineageDT4HTwinStateKSETPOINTOutcomesRecalibration
Infrastructure boundaryDT4H models cohorts, Twins, calibration, and runtime state. It does not diagnose, prescribe, or replace licensed clinical judgment.
Document statusInfrastructure draft
Last updatedMay 2026
Applies toDT4H.ai / AvatarK.ai ecosystem