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Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation

Proposed a novel framework for generating CFs using finetuned large language models (LLMs), with a focus on structured sensor-derived datasets in health and physiological monitoring

Comparable physiological stress responses following music listening and quiet reading: An exploratory pilot study

This pilot study examined whether pre-stress music listening alters physiological and psychological responses. Thirty participants either listened to 10 minutes of self-selected relaxing music or quietly read before a modified Trier Social Stress Test.

GlyTwin: Enhancing Digital Twin for Glucose Control in Type 1 Diabetes using Patient-Centric Counterfactual Treatments

We introduce GlyTwin as a novel digital twin framework designed to support individuals with Type 1 Diabetes through personalized and actionable behavioral interventions. Rather than only predicting glucose outcomes, GlyTwin generates counterfactual treatment recommendations that suggest minimal changes in insulin dosing, carbohydrate intake, and insulin timing to help prevent hyperglycemia.