Association of ADHD and LD with vision abnormalities among the children and adolescents in US, NHANES 1999–2004 by Jiamin Lu, Kefan Zhou, Yingyu Liang, Yingyu Liang, Qishan Li, Jiawen Zhong, Xia Zeng, Tianran Shen, Chongzhen Sun, Xinping Yu, Jinhua Lu, Wenhan Yang, Wenhan Yang

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Predicting clinical outcomes at hospital admission of patients with COVID-19 pneumonia using artificial intelligence: a secondary analysis of a randomized clinical trial by Caio César Souza Conceição, Camila Marinelli Martins, Mayck Medeiros Silva, Hugo Caire de Castro Faria Neto, Davide Chiumello, Davide Chiumello, Davide Chiumello, Patricia Rieken Macedo Rocco, Fernanda Ferreira Cruz, Pedro Leme Silva

“…BackgroundPredicting clinical improvement after hospital admission in patients with COVID-19 is crucial for effective resource allocation. Machine-learning tools can help identify patients likely to show clinical improvement based on real-world data. …”
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Racial and socioeconomic disparities in long term survival after surgery and radiation for spinal cord hemangioblastoma by Abdul Karim Ghaith, Xinlan Yang, Joshua Weinberg, Shaan Bhandarkar, Taha Khalilullah, Abdel-Hameed Al-Mistarehi, Khaled Zaitoun, Meghana Bhimreddy, Arjun K. Menta, Antony Fuleihan, Kamel Chebaro, Jawad Khalifeh, Andrew Grossbach, Nicholas Theodore, Daniel Lubelski

“…Additionally, we explore the utility of machine learning–based survival models to improve individualized risk prediction and to identify key clinical and sociodemographic determinants of long-term survival. …”
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Integrating multi-dimensional data to reveal the mechanisms and molecular targets of baikening granules for treatment of pediatric influenza by Zhaoyuan Gong, Qianzi Che, Mingzhi Hu, Tian Song, Lin Chen, Haili Zhang, Ning Liang, Huizhen Li, Guozhen Zhao, Lijiao Yan, Xuefei Zhang, Bin Liu, Jing Guo, Nannan Shi

“…Pathway and function enrichment were conducted on the relevant targets of BKN for treating pediatric influenza. BKN-related hub genes for influenza were discovered through DEGs, weighted gene co-expression network analysis (WGCNA), BKN-cluster WGCNA, and machine learning model. …”
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MFE-DDI: A multi-view feature encoding framework for drug-drug interaction prediction by Lingfeng Wang, Yinghong Li, Yaozheng Zhou, Liping Guo, Congzhou Chen

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BrYOLO-Mamba: A Approach to Efficient Tracheal Lesion Detection in Bronchoscopy by Yuejiao Cao, Jianzhong Zhang, Ruibing Zhuo, Jin Zhao, Yanting Dong, Tanzhen Liu, Hui Zhao

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Exploring the Kidney-Brain Crosstalk: Biomarkers for Early Detection of Kidney Injury-Related Alzheimer’s Disease by Cai Y, Huang G, Ren M, Chai Y, Fu Y, Yan T, Zhu L

“…Keywords: kidney injury, Alzheimer’s disease, kidney-brain crosstalk, ferroptosis, bioinformatics, machine learning…”
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Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During... by Meng Lu, Ernestine Hui, Marius Brockhoff, Jakob Träuble, Ana Fernandez‐Villegas, Oliver J Burton, Jacob Lamb, Edward Ward, Philippa J Woodhams, Wadood Tadbier, Nino F Läubli, Stephan Hofmann, Clemens F Kaminski, Antonio Lombardo, Gabriele S Kaminski Schierle

“…It is demonstrated that the combined use of G‐MEAs, machine learning (ML) spike analysis, and 4D structured illumination microscopy (SIM) enables monitoring the impact of disease progression on hippocampal neurons which are treated with an intracellular cholesterol transport inhibitor mimicking Niemann–Pick disease type C (NPC), and show that synaptic boutons, compared to untreated controls, significantly increase in size, leading to a loss in neuronal signaling capacity.…”
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Leveraging a foundation model zoo for cell similarity search in oncological microscopy across devices by Gabriel Kalweit, Gabriel Kalweit, Anusha Klett, Paula Silvestrini, Paula Silvestrini, Jens Rahnfeld, Jens Rahnfeld, Mehdi Naouar, Mehdi Naouar, Yannick Vogt, Yannick Vogt, Diana Infante, Diana Infante, Rebecca Berger, Jesús Duque-Afonso, Tanja Nicole Hartmann, Marie Follo, Marie Follo, Elitsa Bodurova-Spassova, Elitsa Bodurova-Spassova, Michael Lübbert, Michael Lübbert, Roland Mertelsmann, Roland Mertelsmann, Roland Mertelsmann, Joschka Boedecker, Joschka Boedecker, Joschka Boedecker, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Maria Kalweit, Maria Kalweit

“…Although AI-based solutions are available, these approaches rely heavily on supervised learning techniques that require high quality, large labeled datasets from the same microscope to be reliable. …”
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Efficient management of neonatal sepsis diagnosis using predictive analytics methods: a scoping review by KVKL Narasimha Rao, Pradeep Kumar Dadabada, Sanjita Jaipuria

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The implementation of digital biomarkers in the diagnosis, treatment and monitoring of mood disorders: a narrative review by Andrea P. Garzón-Partida, Citlali B. Padilla-Gómez, Diana Emilia Martínez-Fernández, Joaquín García-Estrada, Sonia Luquin, David Fernández-Quezada

“…The use of everyday devices like smartphones and smartwatches and specialized tools like actigraphy, in conjunction with powerful statistical tools, artificial intelligence, and machine learning, represents a promising avenue for the implementation of personalized strategies to monitor and treat Mood Disorders, and potentially higher adherence to treatment. …”
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An Integration of RNA Sequencing and Network Pharmacology Approaches Predicts the Molecular Mechanisms of the Huo-Xue-Shen Formula in the Treatment of Liver Fibrosis by Keying Jiang, Jianfeng Bao, Zhonghan Lou, Fei Liu, Keyang Xu, Hiu Yee Kwan

“…<b>Methods</b>: Network pharmacology, machine learning algorithms and RNA-seq were used to predict the immune-treated targets and mechanisms associated with HXS in liver fibrosis. …”
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Integrated analysis of bioinformatics, mendelian randomization, and experimental validation reveals novel diagnostic and therapeutic targets for osteoarthritis: progesterone as a p... by Ziyu Weng, Chenzhong Wang, Bo Liu, Yi Yang, Yueqi Zhang, Chi Zhang

“…RT-qPCR and Western blotting confirmed the downregulation of the hub genes in IL-1β-treated chondrocytes. Western blotting also demonstrated the potential therapeutic effects of progesterone on IL-1β-treated chondrocytes. …”
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Mechanistic insights curcumin’s anti-inflammatory in pancreatic cancer: experimental and computational evidence implicating IL1B interference via IL10RA upregulation and NLRP3/TLR3... by Jun-Feng Cao, Jun-Feng Cao, Kuan Hang, Hao Zhang, Qingjie Xia, Xiao Zhang, Jie Men, Jin Tian, Zengliang Xia, Dunshui Liao, Kezhou Li, Kezhou Li

“…The transcriptome results indicated that 2,676 genes showed differential expression in curcumin-treated group compared to control group. Bioinformatics and machine learning analyses screened 14 key targets that are closely related to the inflammatory response in pancreatic cancer. …”
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EFL Teachers’ Perceptions And Experiences With The Moodle Platform During Covid-19 Epidemic: A Case Study At The University Of Tizi-ouzou by Katia Berbar

“… The Coronavirus (COVID-19) has disrupted teaching and learning worldwide. The rising concern about the rapid spread of the virus resulted in the closure of all educational institutions and the reliance on online academic platforms like Moodle to continue teaching activities. …”
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Enhancing design skills in art and design education by Tun Zaw Oo, Timur Kadyirov, Lyajsan Kadyjrova, Krisztián Józsa, Krisztián Józsa

“…IntroductionIn art and design education, design-based learning (DBL) is crucial for students’ design skills enhancement. …”
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MVSAPNet: A Multivariate Data-Driven Method for Detecting Disc Cutter Wear States in Composite Strata Shield Tunneling by Yewei Xiong, Xinwen Gao, Dahua Ye

“…However, existing methods that treat the problem as a classification task often overlook the issue of data imbalance. …”
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Development and Validation of Predictive Risk Scores for Ovarian Clear Cell Carcinoma: A Penalized Regression Model by Shohei Iyoshi, Ryo Emoto, Nobuhisa Yoshikawa, Kosuke Yoshida, Masato Yoshihara, Satoshi Tamauchi, Akira Yokoi, Yusuke Shimizu, Yoshiki Ikeda, Kaoru Niimi, Michiyasu Kawai, Shigeyuki Matsui, Hiroaki Kajiyama

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On the impact of online interactionist vs. interventionist dynamic assessment on Iranian EFL learners’ writing performance by Donya Nouri, Parviz Alavinia

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Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer by Antonio J. Rodriguez-Almeida, Carmelo Betancort, Ana M. Wägner, Gustavo M. Callico, Himar Fabelo, on behalf of the WARIFA Consortium

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