Laura E. Barnes
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View article: Multimodal Sensing and Modeling of Endocrine Therapy Adherence in Breast Cancer Survivors
Multimodal Sensing and Modeling of Endocrine Therapy Adherence in Breast Cancer Survivors Open
Many breast cancer survivors are prescribed daily oral medications called endocrine therapy that prevent cancer recurrence. Despite its clinical importance, maintaining consistent daily adherence remains challenging due to the dynamic and …
View article: A shape-based functional index for objective assessment of pediatric motor function
A shape-based functional index for objective assessment of pediatric motor function Open
Clinical assessments for neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD), continue to rely on subjective measures to monitor treatment response and disease progression. We introduce a no…
View article: Behavioral engagement patterns and psychosocial outcomes in web-based interpretation bias training for anxiety
Behavioral engagement patterns and psychosocial outcomes in web-based interpretation bias training for anxiety Open
Digital mental health interventions (DMHIs) have the potential to expand treatment access for anxiety but often have low user engagement. The present study analyzed differences in psychosocial outcomes for different behavioral engagement p…
View article: Behavioral Engagement Patterns and Psychosocial Outcomes in Web-Based Interpretation Bias Training for Anxiety
Behavioral Engagement Patterns and Psychosocial Outcomes in Web-Based Interpretation Bias Training for Anxiety Open
Digital mental health interventions (DMHIs) have the potential to expand treatment access for anxiety but often have low user engagement. The present study analyzed differences in psychosocial outcomes for different behavioral engagement p…
View article: Stakeholder-centric participation in large language models enhanced health systems
Stakeholder-centric participation in large language models enhanced health systems Open
Large language models (LLMs) are transforming healthcare by advancing clinical decision support, patient care, and administrative efficiency. However, effectively and sustainably integrating LLMs into healthcare systems requires addressing…
View article: Examining State Affective and Cognitive Outcomes Following Brief Mobile Phone-Based Training Sessions to Reduce Anxious Interpretations
Examining State Affective and Cognitive Outcomes Following Brief Mobile Phone-Based Training Sessions to Reduce Anxious Interpretations Open
Background Rates of stress and anxiety are alarmingly high in university communities, but most people do not receive treatment. Mobile health (mHealth) interventions show promise to improve psychological symptoms and increase access to int…
View article: A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach
A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach Open
Non-adherence to medications is a critical concern since nearly half of patients with chronic illnesses do not follow their prescribed medication regimens, leading to increased mortality, costs, and preventable human distress. Amongst stag…
View article: Acute Changes in Sleep Stages After Concussion in Collegiate Athletes: A Pilot Study
Acute Changes in Sleep Stages After Concussion in Collegiate Athletes: A Pilot Study Open
Context Sleep has been suggested to be a modifier of recovery after a concussion and is associated with greater symptomatology and the number of days until symptom resolution. However, the physiological mechanism for why sleep disturbances…
View article: Wearable Sensor-Based Multimodal Physiological Responses of Socially Anxious Individuals in Social Contexts on Zoom
Wearable Sensor-Based Multimodal Physiological Responses of Socially Anxious Individuals in Social Contexts on Zoom Open
Correctly identifying an individual's social context from passively worn sensors holds promise for delivering just-in-time adaptive interventions (JITAIs) to treat social anxiety. In this study, we present results using passively collected…
View article: Stakeholder-Centric Participation in Large Language Models Enhanced Health Systems
Stakeholder-Centric Participation in Large Language Models Enhanced Health Systems Open
Large language models (LLMs) are transforming healthcare by advancing clinical decision support, patient care, and administrative efficiency. However, effectively and sustainably integrating LLMs into healthcare systems requires addressing…
View article: Understanding State Social Anxiety in Virtual Social Interactions using Multimodal Wearable Sensing Indicators
Understanding State Social Anxiety in Virtual Social Interactions using Multimodal Wearable Sensing Indicators Open
Mobile sensing is ubiquitous and offers opportunities to gain insight into state mental health functioning. Detecting state elevations in social anxiety would be especially useful given this phenomenon is highly prevalent and impairing, bu…
View article: CALLM: Understanding Cancer Survivors' Emotions and Intervention Opportunities via Mobile Diaries and Context-Aware Language Models
CALLM: Understanding Cancer Survivors' Emotions and Intervention Opportunities via Mobile Diaries and Context-Aware Language Models Open
Cancer survivors face unique emotional challenges that impact their quality of life. Mobile diary entries provide a promising method for tracking emotional states, improving self-awareness, and promoting well-being outcome. This paper aims…
View article: A mobile intervention to reduce anxiety among university students, faculty, and staff: Mixed methods study on users’ experiences
A mobile intervention to reduce anxiety among university students, faculty, and staff: Mixed methods study on users’ experiences Open
Anxiety is highly prevalent among college communities, with significant numbers of students, faculty, and staff experiencing severe anxiety symptoms. Digital mental health interventions (DMHIs), including Cognitive Bias Modification for In…
View article: A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function
A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function Open
Clinical assessments for neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD), continue to rely on subjective measures to monitor treatment response and disease progression. We introduce a no…
View article: A Resource Efficient System for On-Smartwatch Audio Processing
A Resource Efficient System for On-Smartwatch Audio Processing Open
While audio data shows promise in addressing various health challenges, there is a lack of research on on-device audio processing for smartwatches. Privacy concerns make storing raw audio and performing post-hoc analysis undesirable for ma…
View article: CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions
CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions Open
Quality patient-provider communication is critical to improve clinical care and patient outcomes. While progress has been made with communication skills training for clinicians, significant gaps exist in how to best monitor, measure, and e…
View article: Development of an ultrasound‐based metric of muscle functional capacity for use in patients with neuromuscular disease
Development of an ultrasound‐based metric of muscle functional capacity for use in patients with neuromuscular disease Open
Introduction/Aims Spinal muscular atrophy (SMA) and Duchenne muscular dystrophy (DMD) are progressive neuromuscular disorders characterized by severe muscle weakness and functional decline (Pillen et al., Muscle Nerve 2008; 37(6):679–693).…
View article: A Mobile Intervention to Reduce Anxiety Among University Students, Faculty, and Staff: Mixed Methods Study on Users’ Experiences
A Mobile Intervention to Reduce Anxiety Among University Students, Faculty, and Staff: Mixed Methods Study on Users’ Experiences Open
Anxiety is highly prevalent among college communities, with significant numbers of students, faculty, and staff experiencing severe anxiety symptoms. Despite this high prevalence, many individuals remain untreated due to barriers such as t…
View article: AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech
AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech Open
During social interactions, understanding the intricacies of the context can be vital, particularly for socially anxious individuals. While previous research has found that the presence of a social interaction can be detected from ambient …
View article: Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents Open
This article explores the convergence of connectionist and symbolic artificial intelligence (AI), from historical debates to contemporary advancements. Traditionally considered distinct paradigms, connectionist AI focuses on neural network…
View article: Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study
Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study Open
Background Digital mental health is a promising paradigm for individualized, patient-driven health care. For example, cognitive bias modification programs that target interpretation biases (cognitive bias modification for interpretation [C…
View article: Web-based interpretation bias training to reduce anxiety: A sequential, multiple-assignment randomized trial.
Web-based interpretation bias training to reduce anxiety: A sequential, multiple-assignment randomized trial. Open
Web-based CBM-I appears effective, but supplemental coaching may not mitigate the challenge of dropout. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
View article: Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models
Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models Open
In HIV care, a strong rapport between patient and provider is essential for strengthening trust, enhancing therapy adherence, and ultimately leading to improved health outcomes. As the adoption of digital interactions in HIV care via mobil…
View article: Behavioral Engagement Patterns and Psychosocial Outcomes in Web-Based Interpretation Bias Training for Anxiety
Behavioral Engagement Patterns and Psychosocial Outcomes in Web-Based Interpretation Bias Training for Anxiety Open
Digital mental health interventions (DMHIs) have the potential to expand treatment access for anxiety but often have low user engagement. The present study analyzed differences in psychosocial outcomes for different behavioral engagement p…
View article: Web-Based Interpretation Bias Training to Reduce Anxiety: A Sequential, Multiple-Assignment Randomized Trial
Web-Based Interpretation Bias Training to Reduce Anxiety: A Sequential, Multiple-Assignment Randomized Trial Open
Objective: Web-based cognitive bias modification for interpretation (CBM-I) can improve interpretation biases and anxiety symptoms but faces high rates of dropout. This study tested the effectiveness of web-based CBM-I relative to an activ…
View article: 1707. New directions for infection prevention in the neonatal intensive care unit: A key informant exploration
1707. New directions for infection prevention in the neonatal intensive care unit: A key informant exploration Open
Background Prolonged hospitalization and unique physiology of neonates and infants places them at risk for healthcare-associated infections (HAIs) in the neonatal intensive care unit (NICU). Development of infection prevention (IP) bundles…
View article: Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring Open
The development of built environments has expanded its focus beyond sustainability to health due to the potential to become a transformative health tool. Studies have shown that exposure to poor Indoor Environmental Quality (IEQ) can affec…
View article: Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis
Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis Open
Wearable devices with embedded sensors can provide personalized healthcare and wellness benefits in digital phenotyping and adaptive interventions. However, the collection, storage, and transmission of biometric data (including processed f…
View article: Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals
Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals Open
Mobile sensing is a ubiquitous and useful tool to make inferences about individuals' mental health based on physiology and behavior patterns. Along with sensing features directly associated with mental health, it can be valuable to detect …