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Novel Apparatus and Method for Drug Reinforcement
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Reinforcement Learning on Dyads to Enhance Medication Adherence.

Ziping Xu1, Hinal Jajal1, Sung Won Choi2

  • 1Harvard University, Cambridge, MA, USA.

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|September 8, 2025
PubMed
Summary
This summary is machine-generated.

Personalized digital interventions improved medication adherence for adolescents and young adults (AYAs) post-transplant. A Multi-Agent Reinforcement Learning (MARL) approach optimized intervention delivery, showing a 3% adherence increase in simulations.

Keywords:
Digital HealthDyadic RelationshipsMedication AdherenceReinforcement Learning

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Area of Science:

  • Adolescent and Young Adult (AYA) Health
  • Digital Health Interventions
  • Computational Health

Background:

  • Medication adherence is crucial for hematopoietic cell transplantation (HCT) recovery in AYAs.
  • AYAs face individual and interpersonal barriers to adherence post-discharge.
  • Existing interventions may not fully address dyadic and relational challenges.

Purpose of the Study:

  • To optimize a digital intervention for AYA medication adherence post-HCT.
  • To personalize intervention delivery using a novel Multi-Agent Reinforcement Learning (MARL) approach.
  • To target both AYAs and their care partners within a dyadic framework.

Main Methods:

  • Proposed a Multi-Agent Reinforcement Learning (MARL) framework for personalized intervention delivery.
  • Each agent within the MARL framework delivered a specific intervention component.
  • Evaluated the MARL approach using a dyadic simulator based on real clinical data.

Main Results:

  • The MARL approach demonstrated faster learning compared to a flattened agent model.
  • Simulations showed a significant improvement in medication adherence (approximately 3%) versus random delivery.
  • The personalized approach showed potential for enhancing adherence in a complex patient population.

Conclusions:

  • A MARL framework can effectively personalize digital interventions for AYA medication adherence.
  • This approach addresses dyadic and relational factors impacting adherence post-HCT.
  • Further evaluation in a clinical trial is warranted to confirm effectiveness.