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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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IHEP Recursive Loop Closure

descriptionPublicationkeyboard_double_arrow_right Other literature type 10 Dec 2025 English Publisher:Zenodo
Authors: Jarmacz, Jason; Trade Momentum LLC;

doi: 10.5281/zenodo.18288172 , 10.5281/zenodo.18288171

IHEP Recursive Loop Closure

Abstract

This document specifies the Recursive Loop Closure (RLC) mechanism that bridges the gap between IHEP's AI-driven interventions and real-world patient outcomes, creating a morphogenetic feedback system that continuously refines the digital twin framework based on actual clinical and behavioral data.

Keywords

federated learning, Digital Health, HIV, digital twins, morphogenetic systems

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average