The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

“…It looks at how healthcare AI techniques like deep learning, natural language processing, or even predictive analytics can revolutionize the industry by changing how treatments are administered to be based on the individual profiles of each patient. …”
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deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning by Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma

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Accuracy of the Pediatric Emotional Distress Scale – Early Screener to predict the risk for developing PTSD in young children after accidental injury by Irma Hein, Maj Gigengack, Cedric Sachser, Ramón Lindauer

“…Background: Early identification of posttraumatic stress disorder (PTSD) in children is important to prevent chronic symptoms and long-term negative consequences. …”
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Prediction of mechanical properties of steel fibre-reinforced concrete under elevated temperature using artificial neural network techniques (ann) by G. Premkumar, S. Senthil Selvan

“…While existing literature mainly emphasizes the prediction of compressive strength, limited efforts have been made to predict other key mechanical properties under thermal stress. …”
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Global, regional, and national trends in the epidemiology of aortic aneurysms among women of childbearing age, 1990–2021, with predictions through 2036 by Wei Wang, Yong Shi, Xinyao Li, Tianxiang Gu, Enyi Shi

“…An age-period-cohort model assessed trends, period, and cohort effects, while the Bayesian age-period-cohort model predicted the disease burden through 2036. Results In 2021, AA was associated with 2,552 (95% UI: 2,273 to 2,827) mortality and 86,466 (95% UI: 72,510 to 115,049) DALYs counts worldwide among women of childbearing age. …”
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Prediction of joint deformity after MIPPO with double reverse traction repositor based on Hounsfield units derived from CT scans by Guimiao Li, Kejia Shang, Shengnan Zhang, Zhongzheng Wang, Yanjiang Yang, Chunxu Fu, Chen Feng, Di Zhang, Yingze Zhang

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PULSE REDUCTION IN MANAGEMENT OF HYPERTROPHIC CARDIOMYOPATHY (TWO CLINICAL CASES) by N. S. Krylova, E. A. Kovalevskaya, N. G. Poteshkina, Е. A. Mershina, V. Е. Sinitsyn, N. A. Sonicheva, L. Monserrat

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Effect of BFRP textile geometric characteristics on the flexural performance of textile reinforced concrete thin plate: An experimental and theoretical study by Xiaofei Zhang, Xin Wang, Lining Ding, Yongwang Zhang, Xunmei Liang, Zhishen Wu

“…These findings provide a basis for optimizing textile geometry and predicting the bending performance of BTRC elements.…”
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p62/SQSTM1 accumulation in squamous cell carcinoma of head and neck predicts sensitivity to phosphatidylinositol 3-kinase pathway inhibitors. by Wen-Liang Kuo, Marina N Sharifi, Mark W Lingen, Omar Ahmed, Jing Liu, Madhavi Nagilla, Kay F Macleod, Ezra E W Cohen

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Distributed Frequency Regulation Method for Power Grids Considering the Delayed Response of Virtual Power Plants by Jun Qi, Anning Ying, Bohang Zhang, Dan Zhou, Guoqing Weng

“…To tackle the challenges of distributed flexible resource coordination and inherent control delays in virtual power plant (VPP)-participated frequency regulation (FR) for interconnected power systems, this paper proposes a novel distributed model predictive control (DMPC)-based FR strategy with time-delay compensation. …”
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Machine-learning-driven prediction of flow curves and development of processing maps for hot-deformed Ni–Cu–Co–Ti–Ta alloy by Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, M.R. Rahul, Sumanta Samal, Eunhyo Song, Younggeon Lee, Yongho Jeon, Krishanu Biswas, Gandham Phanikumar, Byungmin Ahn

“…To reduce experimental efforts and enhance prediction accuracy, five machine learning (ML) models random Forest (RF), XGBoost (XGB), decision tree (DT), K-Nearest neighbor (KNN), and gradient boosting (GB) were applied to predict the flow stress–strain response and construct processing maps. …”
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Predictive mathematical modeling of biomechanical behavior in all-on-4 implants design: effects of distal implant and occlusal load angulation using RSM based on FEA by Fahri Murat, Sema Nur Sevinç Gül, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy

“…This study presents a predictive biomechanical modeling approach for optimizing distal implant placement in the All-on-4 treatment concept, with a focus on implant angulation and occlusal load direction. …”
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Cardiovascular risk and stress in employees of a higher education institution by Eugênio Barbosa de Melo Júnior, Jayne Ramos Araujo Moura, Sâmia Suély Leal Borges, Açucena Leal de Araújo, Jackson Júnior Vieira de Castro, Ana Roberta Vilarouca da Silva

“…Objective: to analyze the association between high levels of stress and the frequency of cardiovascular risk factors in employees of a higher education institution. …”
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Cardiovascular risk and stress in employees of a higher education institution by Eugênio Barbosa de Melo Júnior, Jayne Ramos Araujo Moura, Sâmia Suély Leal Borges, Açucena Leal de Araújo, Jackson Júnior Vieira de Castro, Ana Roberta Vilarouca da Silva

“…Objective: to analyze the association between high levels of stress and the frequency of cardiovascular risk factors in employees of a higher education institution. …”
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Data From Early Childhood Educators’ Work and Stress Study by Randi A. Bates, Jaclyn M. Dynia, Bailey E. Martin

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job stress, education and work ability among refinery workers by S Safari, E Habibi, H Dehghan, B Mahaki, A Hassanzadeh

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The efficacy of an inquiry-based stress reduction program on self-compassion and compassion for others in undergraduate nursing students by Mahboobeh Jamali, Jamileh Farokhzadian, Mahya Torkaman, Sakineh Miri

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Predicting Clinical Response to Monoclonal TNF Inhibitors in Rheumatoid Arthritis: A Transcriptomic Approach Based on Transmembrane TNF Reverse Signaling and Nrf2 Activation by Katy Diallo, Yannick Degboé, Michel Baron, Anaïs Bellin-Robert, Jean-Frédéric Boyer, Adeline Ruyssen-Witrand, Arnaud Constantin, Benjamin Rauwel, Alain Cantagrel, Jean-Luc Davignon

“…We previously showed that certolizumab, a Fab’ TNFi, activates RS in human primary monocytes, at least in part through the transcription factor Nrf2 that is known to regulate the expression of genes involved in anti-inflammatory response and oxidative stress. (2) <b>Methods</b>: Here, we have developed an assay for the prediction of clinical response of RA patients to TNF inhibitors. …”
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Cytotoxicity of citral against melanoma cells: The involvement of oxidative stress generation and cell growth protein reduction by Larissa Juliani Sanches, Poliana Camila Marinello, Carolina Panis, Tatiane Renata Fagundes, José Andrés Morgado-Díaz, Julio Cesar Madureira de-Freitas-Junior, Rubens Cecchini, Alessandra Lourenço Cecchini, Rodrigo Cabral Luiz

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Educational Stress and Artificial Intelligence Tools: A Study of International Students’ Experiences in Spanish Higher Education by Aida Mehrad, Mohammad Hossein Tahriri Zangeneh, Meriem Bouzedif, Neema George Rweramila

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