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Perceptions of Machine Learning among Therapists Practicing Applied Behavior Analysis: A National Survey.
Behav Anal Pract
December 2024
Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA.
Unlabelled: Collecting data and logging behaviors of clients who have autism spectrum disorder (ASD) during applied behavior analysis (ABA) therapy sessions can be challenging in real time, especially when the behaviors require a rapid response, like self-injury or aggression. Little information is available about the automation of data collection in ABA therapy, such as through machine learning (ML). Our survey of ABA therapists nationally revealed mixed levels of familiarity with ML and generally neutral responses to statements endorsing the benefits of ML.
View Article and Find Full Text PDFAlgorithm-informed treatment from EEG patterns improves outcomes for patients with major depressive disorder.
J Family Med Prim Care
December 2024
Department of Psychiatry and Behavioral Health, Jersey Shore University Medical Center, Neptune, NJ, USA.
Objective: Selecting the right medication for major depressive disorder (MDD) is challenging, and patients are often on several medications before an effective one is found. Using patient EEG patterns with computer models to select medications is a potential solution, however, it is not widely performed. Therefore, we evaluated a commercially available EEG data analysis system to help guide medication selection in a clinical setting.
View Article and Find Full Text PDFTargeted Assay Engineering Enhances Bile Salt Hydrolase Activity in Heyndrickxia coagulans ATCC 7050 and Lactiplantibacillus plantarum ATCC 10012.
Curr Microbiol
January 2025
Department of Food Engineering and Technology, Institute of Chemical Technology, Matunga, Mumbai, Maharashtra, India.
The recent emergence of bile salt hydrolase (BSH) enzyme as a therapeutic target reflects its unbound potential in mitigating hypercholesterolemia, obesity, and gastrointestinal issues. However, to bolster its industrial application, optimization of BSH assay lays the cornerstone for enhancing sensitivity, specificity, and reproducibility. The current study delved into optimizing the BSH assay parameters utilizing response surface methodology (RSM) and one-factor-at-a-time (OFAT) method for two novel, natural BSH producers, Heyndrickxia coagulans ATCC 7050 and Lactiplantibacillus plantarum ATCC 10012.
View Article and Find Full Text PDFEvaluation of LLMs accuracy and consistency in the registered dietitian exam through prompt engineering and knowledge retrieval.
Sci Rep
January 2025
Department of Engineering, iHealth Labs, Sunnyvale, CA, 94085, United States.
Large language models (LLMs) are fundamentally transforming human-facing applications in the health and well-being domains: boosting patient engagement, accelerating clinical decision-making, and facilitating medical education. Although state-of-the-art LLMs have shown superior performance in several conversational applications, evaluations within nutrition and diet applications are still insufficient. In this paper, we propose to employ the Registered Dietitian (RD) exam to conduct a standard and comprehensive evaluation of state-of-the-art LLMs, GPT-4o, Claude 3.
View Article and Find Full Text PDFUsability, acceptance, and the role of realism in virtual humans for breathing exercise training.
Sci Rep
January 2025
College of Engineering and Physical Sciences, Aston University, Birmingham, B4 7ET, UK.
Breathing exercises are used to address a multitude of issues ranging from mental health to physical well-being. While they are recommended for various health conditions, access to professional support is often limited due to time and cost constraints. Virtual Reality technology offers a promising solution for enhancing mindfulness and relaxation practices, including breathing exercises.
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