Institutional Layer

Advisory and Research Board

DT4H combines clinicians, longitudinal systems thinkers, researchers, and future university collaborators to guide validation, governance, and adaptive infrastructure development.

Board purpose #

The DT4H advisory structure exists to guide longitudinal validation, runtime governance, pilot realism, clinical boundaries, ArenaK behavioral systems, and future adaptive infrastructure research.

The board is intentionally multidisciplinary. DT4H spans clinical continuity, behavioral systems, runtime intelligence, longitudinal state modeling, and governed execution workflows.

Current structure #

FOUNDER

Devendar Pallapati

DT4H architecture, StateK, SETPOINT runtime systems, ArenaK, and longitudinal adaptive infrastructure.

OBGYN

Dr Sandhya

Women’s health continuity, longitudinal OBGYN care, reproductive workflows, and delivery-scale clinical heuristics.

OBGYN

Dr Sudha

Clinical pilot workflows, EHR continuity, longitudinal patient interpretation, and operational care transitions.

PEDIATRICS

Dr Aruna

Pediatric continuity, developmental trajectories, family-centered care, and longitudinal resilience context.

CARDIOLOGY

Dr Rao

Cardiometabolic interpretation, recovery trajectories, resilience modeling, and adaptive state review.

FUTURE

University Collaborators

Behavioral systems, ArenaK labs, reproducibility studies, runtime validation, and longitudinal cohort research.

Governance areas #

ClinicalBoundary review

Ensure DT4H remains infrastructure support rather than autonomous diagnosis.

ResearchValidation guidance

Shape pilot methodology, longitudinal studies, and reproducibility pathways.

ArenaKBehavioral systems

Guide adaptive gameplay validation and signal interpretation strategy.

RuntimeExecution governance

Review confidence visibility, calibration posture, and adaptive feedback loops.

Future expansion #

CLINICSPilot validation

SoCal · Warangal · longitudinal workflows

UNIVERSITIESArenaK labs

BITS Pilani · behavioral systems · reproducibility

RESEARCHLongitudinal studies

Cohorts · runtime intelligence · adaptive infrastructure

LayerDT4H Platform
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