Enhanced Tumor Diagnostics via Cyber-Physical Workflow: Integrating Morphology, Morphometry, and Genomic MultimodalData Analysis and Visualization in Digital Pathology by Marianna Dimitrova Kucarov, Niklolett Szakállas, Béla Molnár, Miklos Kozlovszky

“…Additionally, the intelligent system integrates data from open-access genomic databases for gene-specific molecular pathways and drug targets. …”
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Integrating Sensor Data, Laboratory Analysis, and Computer Vision in Machine Learning-Driven E-Nose Systems for Predicting Tomato Shelf Life by Julia Marie Senge, Florian Kaltenecker, Christian Krupitzer

“…Electronic Nose (E-Nose) technology has been established to track the ripeness, spoilage, and quality of fresh produce. Our study developed a freshness monitoring system for tomatoes, combining E-Nose technology with storage condition monitoring, color analysis, and weight-loss tracking. …”
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An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation by Moataz Bellah Ben Khedher, Dukgeun Yun

“…These findings have significant implications for traffic safety research and policymaking, offering stakeholders a more accurate and interpretable tool for crash data analysis to develop targeted safety interventions.…”
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Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models by Masab Mansoor, Kashif Ansari

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A PRELIMINARY STUDY OF SENTIMENT ANALYSIS ON COVID-19 NEWS: LESSON LEARNED FROM DATA ACQUISITION, PRE-PROCESSING, AND DESCRIPTIVE ANALYTICS by Rahmatin Nur Amalia, Kusman Sadik, Khairil Anwar Notodiputro

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Health risk behaviours among people with severe mental ill health during the COVID-19 pandemic: Analysis of linked cohort data. by Emily Peckham, Victoria Allgar, Suzanne Crosland, Paul Heron, Gordon Johnston, Elizabeth Newbronner, Panagiotis Spanakis, Ruth Wadman, Lauren Walker, Simon Gilbody

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Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

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Identifying risk factors for surgical site infections following posterior cervical laminectomy: a comprehensive analysis using ACS NSQIP data by Fatima Abbas, Fatima Nasser, Jinane Makki, Bassem Awada, Hani Dimassi

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The Need for Pediatric Palliative Care in Romania: A Retrospective Study (2022–2023) Based on Quantitative Research and Analysis of Secondary Statistical Data by Mihaela Hizanu Dumitrache, Mădălina Duceac Covrig, Dana Elena Mîndru, Alina Plesea Condratovici, Geta Mitrea, Eva Maria Elkan, Antoanela Curici, Bogdan Gafton, Letiția Doina Duceac

“…The analysis focused on life-limiting conditions as defined by the WHO Annex 3, Order no. 253/2018. …”
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Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data. by Ali Golestani, Nazila Rezaei, Mohammad-Reza Malekpour, Naser Ahmadi, Seyed Mohammad-Navid Ataei, Sepehr Khosravi, Ayyoob Jafari, Saeid Shahraz, Farshad Farzadfar

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Exploring the link between serum uric acid and endometriosis: a cross-sectional analysis utilizing NHANES data from 1999-2006 by Haiwei Chen, Yuling Chen, Xiaotong Chen, Lixin Tang, Jiaqi Liu, Wen-Jing Shi, Yu-Hua Ou

“…However, evidence directly linking increased serum uric acid levels to endometriosis in women remains sparse, and the precise characteristics of this influence are still not fully understood.ObjectiveTo explore the exact relationship between serum uric acid and endometriosis.Study designReferencing the data accumulated from the National Health and Nutrition Examination Survey (NHANES), this study covers the period from 1999 to 2006, conducted an analysis of 5,162 female participants aged 20 to 54 years (representing a sample size of approximately 66,927,890 women). …”
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Determinants of given anything other than breast milk for neonates in Ethiopia: a multilevel modeling complex sample survey data analysis by Nigusie Selomon Tibebu, Tigabu Desie Emiru, Chalie Marew Tiruneh, Gebrehiwot Berie Mokonnen, Birara Aychew Tilaye, Lakachew Yismaw Bazezew, Bisrat Dessie Getu, Moges Wubneh Abate, Adane Birhanu Nigat, Getasew Legas, Belete Gelaw Walle, Mulualem Gete Feleke, Endalk Birrie

“…The data was hierarchical; therefore we performed a multilevel analysis. …”
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Integrated analysis of single-cell RNA sequencing and bulk transcriptome data identifies a pyroptosis-associated diagnostic model for Parkinson’s disease by Lin Wang, Yidan Qin, Jia Song, Jing Xu, Wei Quan, Hang Su, Huibin Zeng, Jian Zhang, Jia Li, Jiajun Chen

“…Integration of scRNA-seq datasets with weighted gene co-expression network analysis (WGCNA) allowed extraction of pyroptosis-associated differentially expressed genes (PDEGs). …”
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Transcriptome Data Combined With Mendelian Randomization Analysis Identifies Key Genes Associated With Mitochondria and Programmed Cell Death in Intervertebral Disc Degeneration by Hongfei Nie, Xiao Hu, Jiaxiao Wang, Jia Wang, Xiaoqian Yu, Jun Li

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Risk assessment and hierarchical classification of foodborne disease epidemics during major events in Beijing: an empirical study based on surveillance data analysis by Jinru JIANG, Yangbo WU, Tongyu WANG, Chao WANG, Yanlin NIU, Di WANG, Liping LI, Qian CHEN, Yao ZHAO, Xiaochen MA

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Atherogenic Index of Plasma mediates the association between Life’s Crucial 9 with overactive bladder: a secondary data analysis from NHANES by Hongyang Gong, Hongyang Gong, Xiaomei Lin, Shaoqun Huang

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Trajectories and influencing factors of medical-help-seeking behaviour of elderly hypertensive patients - Analysis of 8 year clinical follow up data by Chunxiang Wu, Jie Tian, Yi Guo, Bo Deng, Jie Yu, Ning Cai, Li Shen

“…Understanding the long-term journey and influencing factors of medical-help-seeking behaviour in hypertensive patients is crucial for developing targeted and patient-centred prevention and control strategies. …”
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Pre-hospital assessment of trauma associated severe hemorrhage (phTASH) – analysis of TraumaRegister DGU® data from 2015-2021 by Christoph Jänig, Willi Schmidbauer, Erwin Kollig, Tobias Gruebl, Rolf Lefering, Lisa Hackenberg, Daniel C. Schroeder, Dan Bieler, Committee on Emergency Medicine, Intensive Care, Trauma Management (Sektion NIS) of the German Trauma Society (DGU)

“…However, both scores were validated with in-hospital data that do not correspond to the characteristics of the European trauma population. …”
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Tracking Listening Skill Development in Infants and Children with Hearing Loss: A Normative Dataset for the Functional Listening Index—Paediatric (FLI-P^®) by Robert S. C. Cowan, Aleisha Davis, Pia Watkins, Katie Neal, Ruth Brookman, Mark Seeto, Janette Oliver

“…A graphical representation of these percentile trajectories was created to facilitate comparison between children with hearing loss and the normative data. Conclusion: A normative dataset of FLI-P scores from typically hearing children has been established, allowing for comparisons with the scores and developmental trajectories of individual children with hearing loss. …”
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A practice of developing nano technologies: mistakes of China and recommendations for Russia by P. N. Pavlov

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