Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study by Pooja Guhan, Naman Awasthi, Kathryn McDonald, Kristin Bussell, Gloria Reeves, Dinesh Manocha, Aniket Bera

“…The algorithm developed is an attempt to model person-oriented engagement modeling theories within machine learning frameworks to estimate the level of engagement of the patient accurately and reliably in telehealth. …”
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A Comprehensive Investigation of Fraud Detection Behavior in Federated Learning by Sun Rui

“…This paper proposed future research directions, emphasizing model personalization, communication optimization, and advanced privacy-preserving techniques. …”
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The effect of digital literacy levels of sports sciences faculty students on e-learning attitude by Fikret Soyer, Nuri Berk Gungor, Alptug Soyer

“…The research was based on the relational screening model. Personal information form and Digital Literacy and Attitude Scales towards E-Learning were used as data collection tools in the study. …”
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In silico modelling of organ-on-a-chip devices: an overview by Yue Wang, Lucia Marucci, Lucia Marucci, Lucia Marucci, Martin E. Homer

“…Diverse OOAC devices specific to different organs have been proposed for experimental research and applications such as disease modelling, personalized medicine and drug screening. Previous studies have demonstrated that the mathematical modelling of OOAC can facilitate the optimization of chips’ microenvironments, serving as an essential tool to design and improve microdevices which allow reproducible growth of cell culture, reducing the time and cost of experimental testing. …”
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Establishing Personalized and Sparse Spinal Reflex Circuitry From Locomotion Data by Huawei Wang, Arvid Q. L. Keemink, Massimo Sartori

“…This is achieved by first performing muscle model personalization via optimization and consequently extensive model regularization when optimizing a densely connected neural reflex network. …”
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Advancing privacy-aware machine learning on sensitive data via edge-based continual µ-training for personalized large models by Zhaojing Huang, Leping Yu, Luis Fernando Herbozo Contreras, Kamran Eshraghian, Nhan Duy Truong, Armin Nikpour, Omid Kavehei

“…While the proposed Naive Continual Fine-tuning Process is in its early stages, we highlight this paper’s potential model personalization on long-term data. Moreover, weight transfer in our system is exclusively for fine-tuning; hence, it improves user privacy protection by failing data reconstruction attempts from weights, like an issue with Federated learning models. …”
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Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling by Aryan Golzaryan, M. Soltani, Farshad Moradi Kashkooli, Babak Saboury, Arman Rahmim

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Factors associated with dental care utilization among Iranian adult populations based on Anderson model by Ashkan Negintaji Zardak, Mostafa Amini-Rarani, Ibrahim Abdollahpour, Faezeh Eslamipour, Bahareh Tahani

“…Independent Factors included the contextual, individual enabling, individual predisposing and individual need factors based on the Andersen model. Personal health behaviors were also assessed. Statistical analysis was conducted using Chi-square tests, simple and multivariable logistic regression models (α < 0.05). …”
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Associations of PM2.5 with Chronic Obstructive Pulmonary Disease in Shipyard Workers: A Cohort Study by Nguyen Thanh Tung, Ching-Huang Lai, Chih-Hong Pan, Wei-Liang Chen, Chung-Ching Wang, Che-Wei Liang, Chi-Yu Chien, Kai-Jen Chuang, Huynh Nguyen Xuan Thao, Hoang Ba Dung, Tran Phan Chung Thuy, Hsiao-Chi Chuang

“…We conducted a cohort study with a follow-up of 4 years in 115 shipyard workers to investigate the incidence rate of chronic obstructive pulmonary disease (COPD), and to evaluate the effects of welding fume PM2.5 deposition on fractional exhaled nitric oxide (FeNO), lung function, and blood pressure using generalized estimating equation models. Personal exposure to welding fumes was measured, and deposition fractions of inhaled welding fume PM2.5 in lung regions were estimated using multiple-path particle dosimetry. …”
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