Study on the relationship between vaginal dose and radiation-induced vaginal injury following cervical cancer radiotherapy, and model development by Fei Kong, Ziqin Yan, Liying Gao, Jianping Long, Xu Wang, Zhangcai Zheng

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An exploratory study of high-throughput transcriptomic analysis reveals novel mRNA biomarkers for acute myocardial infarction using integrated methods by Fei Huang, Zongning Chen, Binjie Tan, Rong He, Xiaoyu Zhang, Yali Chen, Jinsong Gao, Bo Sun

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Non-invasive blood glucose level monitoring using antennas: a comprehensive review report by Nidhi Upadhyay, Amanpreet Kaur, Arnab Pattanayak, Ashima Singh

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Functional profile of host microbiome indicates Clostridioides difficile infection by Etienne Nzabarushimana, Haixu Tang

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An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study by Weihao Jiang, Juan Zhang, Weiqing Shi, Xuyong Cao, Xiongwei Zhao, Bin Zhang, Haikuan Yu, Shengjie Wang, Yong Qin, Mingxing Lei, Yuncen Cao, Boyu Zhu, Yaosheng Liu

“…Methods The study analyzed 504 surgically treated patients with spinal metastases from four tertiary hospitals. …”
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Predictive modeling of coagulant dosing in drilling wastewater treatment using artificial neural networks by Mahyar Kalhormohammadi, Sanaz Khoramipour

“…In this study, data from 200 drilling waste management reports across various wells in the West Karun oilfields were collected, including input wastewater characteristics, dosages of polyaluminum chloride (coagulant) and polyacrylamide (flocculant), and the quality of the treated effluent. After conducting sensitivity analysis to select relevant input-output parameters, predictive models were developed using Recurrent Neural Networks (RNN), a hybrid PSO-RNN model, Extreme Learning Machines (ELMs), and Random Forest (RF). …”
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SympCoughNet: symptom assisted audio-based COVID-19 detection by Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou

“…To address this limitation, we propose SympCoughNet, a deep learning-based COVID-19 audio classification network that integrates cough sounds with clinical symptom data. …”
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RNA editing-based biomarker blood test for the diagnosis of bipolar disorder: protocol of the EDIT-B study by Andrea Miranda-Mendizabal, Diana Vetter, Juan Zambrano, Jeff Zarp, Victor Chavarría, Anna Giménez-Palomo, Meritxell Gonzalez-Campos, Marc Valenti, Lara Walczer Baldinazzo, Sara Siddi, Maurizio Ferrari, Dinah Weissmann, Chantal Henry, Josep Maria Haro, Lars Vedel Kessing, Eduard Vieta

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Development and validation of a predictive model for in-hospital mortality in patients with coronary heart disease and renal insufficiency by Yahui Li, Hongsen Cai, Wei Zheng, Meijie Wang, Man Huang, Luyun Wang, Daowen Wang, Chunxia Zhao, Wenguang Hou, Hu Ding, Yan Wang, Hongling Zhu

“…Methods: We analyzed data from 11,830 CHD patients with renal insufficiency treated at Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China (1994–2023). …”
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Clinical efficacy of DSA-based features in predicting outcomes of acupuncture intervention on upper limb dysfunction following ischemic stroke by Yuqi Tang, Sixian Hu, Yipeng Xu, Linjia Wang, Yu Fang, Pei Yu, Yaning Liu, Jiangwei Shi, Junwen Guan, Ling Zhao

“…We applied three deep-learning algorithms (YOLOX, FasterRCNN, and TOOD) to develop the object detection model. …”
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Research on the functions and potential mechanisms of STAT3 in chronic myelogenous leukemia by Xiaoyun Feng, Yufeng Qin, Yulong Feng, Yingquan Zhuo

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Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligence by Wei Zhao, Milan Grkovski, Heiko Schoder, Aditya P. Apte, John Humm, Nancy Y. Lee, Joseph O. Deasy, Harini Veeraraghavan

“…Conclusion: Voxel-wise prediction of hypoxia for HN cancers from a 2D deep learning model using FDG-PET images as inputs was shown to be feasible. …”
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Revealing the heterogeneity of treatment resistance in less‐defined subtype diffuse large B cell lymphoma patients by integrating programmed cell death patterns and liquid biopsy by Wei Hua, Jie Liu, Yue Li, Hua Yin, Hao‐Rui Shen, Jia‐Zhu Wu, Yi‐Lin Kong, Bi‐Hui Pan, Jun‐Heng Liang, Li Wang, Jian‐Yong Li, Rui Gao, Jin‐Hua Liang, Wei Xu

“…By employing various machine learning algorithms, we pinpointed eight pivotal genes linked to PCD, specifically FLT3, SORL1, CD8A, BCL2L1, COL13A1, MPG, DYRK2 and CAMK2B. …”
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Water pollution and water quality assessment and application of criterion impact loss (CILOS), geographical information system (GIS), artificial neural network (ANN) and decision-l... by Abhijeet Das

“…River water quality has grown in importance since river water needs to be treated to ensure safe, sustainable use because it is being contaminated by a variety of human activities. …”
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Implantable Medical Device Security by Luigi Catuogno, Clemente Galdi

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A Hybrid Methodology of Data Science and Decision Making Techniques: Lessons from COVID-19 Pandemic Management by mehdi dadehbeigi, ali taherinezhad, alireza alinezhad

“…This paper aims to assess and predict the efficiency of countries in preventing and treating COVID-19 by combining DEA and MCDM models with machine learning models. …”
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Predicting Risk and Complications of Diabetes Through Built-In Artificial Intelligence by Siana Sagar Bontha, Sastry Kodanda Rama Jammalamadaka, Chandra Prakash Vudatha, Sasi Bhanu Jammalamadaka, Balakrishna Kamesh Duvvuri, Bala Chandrika Vudatha

“…The global healthcare system faces significant challenges posed by diabetes and its complications, highlighting the need for innovative strategies to improve early diagnosis and treatment. Machine learning models help in the early detection of diseases and recommendations for taking safety measures and treating the disease. …”
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Personalized medication recommendations for Parkinson’s disease patients using gated recurrent units and SHAP interpretability by Atiye Riasi, Mehdi Delrobaei, Mehri Salari

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Optimizing the early-stage of composting process emissions – artificial intelligence primary tests by Joanna Rosik, Maciej Karczewski, Sylwia Stegenta-Dąbrowska

“…Abstract Although composting has many advantages in treating organic waste, many problems and challenges are still associated with emissions, like NH3, CO and H2S, as well as greenhouse gases such as CO2. …”
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Forecasting Urban Agglomeration Air Quality: A Data-Driven Model With the Gaussian Decoupled Representation Extractor by Wenkang Li, Yingfang Zhu

“…The endeavor to forecast air quality accurately, which carries substantial societal implications, has become increasingly crucial particularly within Chinese urban agglomeration. Recent deep learning approaches have significantly enhanced the modeling of complex spatial-temporal correlations within air quality data, primarily by treating the data as a dispersion process. …”
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