Leveraging LSTM and ensemble classifiers for enhanced food waste classification by Khalaf Alsalem

“…The proposed feature extraction approach detects temporal patterns in feature data, improving the robustness of decisions and making this method suitable for waste classification applications. …”
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Single-cell transcriptomics reveal the prognostic roles of epithelial and T cells and DNA methylation-based prognostic models in pancreatic cancer by Jing Du, Yaqian Zhao, Jie Dong, Peng Li, Yan Hu, Hailang Fan, Feifan Zhang, Lanlan Sun, Dake Zhang, Yuhua Zhang

“…Treatment predictions and nomograms were developed for clinical use. Conclusions scRNA-seq and DNAm data integration enabled the creation of predictive models based on epithelial and T cell-specific methylation patterns, offering robust prognosis prediction for PDAC patients.…”
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NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides by Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv

“…NeXtMD systematically extracts four functionally relevant sequence-derived descriptors—residue composition, inter-residue correlation, physicochemical properties, and sequence patterns—and utilizes a two-stage prediction strategy. …”
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Acute Liver Injury Is Independent of B Cells or Immunoglobulin M. by James A Richards, Martina Bucsaiova, Emily E Hesketh, Chiara Ventre, Neil C Henderson, Kenneth Simpson, Christopher O C Bellamy, Sarah E M Howie, Stephen M Anderton, Jeremy Hughes, Stephen J Wigmore

“…<h4>Background & aims</h4>Acute liver injury is a clinically important pathology and results in the release of Danger Associated Molecular Patterns, which initiate an immune response. Withdrawal of the injurious agent and curtailing any pathogenic secondary immune response may allow spontaneous resolution of injury. …”
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…This framework enables probabilistic estimation of treatment resistance likelihood while providing transparent feature contribution analyses essential for developing patient-specific management protocols.…”
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A multi-module enhanced YOLOv8 framework for accurate AO classification of distal radius fractures: SCFAST-YOLO by Yu Wang, Haifu Sun, Tiankai Jiang, JunFeng Shi, JunFeng Shi, Qin Wang, Qin Wang, Hongwei Yang, Hongwei Yang, Yusen Qiao

“…Secondly, we develop the C2f-Faster-EMA module that preserves fine-grained spatial details through optimized information pathways and statistical feature aggregation. …”
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SUMOylation-related genes define prognostic subtypes in stomach adenocarcinoma: integrating single-cell analysis and machine learning analyses by Kaiping Luo, Kaiping Luo, Donghui Xing, Donghui Xing, Xiang He, Yixin Zhai, Yanan Jiang, Hongjie Zhan, Zhigang Zhao

“…A SUMOylation Risk Score (SRS) model was developed using 69 machine learning models across 10 algorithms, with performance evaluated by C-index and AUC. …”
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Histological Grade, Tumor Breadth, and Hypertension Predict Early Recurrence in Pediatric Sarcoma: A LASSO-Regularized Micro-Cohort Study by Alexander Fiedler, Mehran Dadras, Marius Drysch, Sonja Verena Schmidt, Flemming Puscz, Felix Reinkemeier, Marcus Lehnhardt, Christoph Wallner

“…This exploratory study aimed to identify clinical features associated with first tumor recurrence using a machine learning approach tailored to low-event settings. …”
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An integrated machine learning and fractional calculus approach to predicting diabetes risk in women by David Amilo, Khadijeh Sadri, Evren Hincal, Muhammad Farman, Kottakkaran Sooppy Nisar, Mohamed Hafez

“…Complementing these data-driven insights, we develop a Caputo fractional-order model that captures the temporal dynamics of glucose-insulin regulation, BMI, and blood pressure. …”
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Clinical characteristics and unique presentations of immune checkpoint inhibitor induced type 1 diabetes in Chinese patients from a single institution by Wei Liu, Chunmei Li, Yayu Fang, Xiaoling Cai, Yu Zhu, Qian Ren, Rui Zhang, Mingxia Zhang, Ying Gao, Xueyao Han, Juan Li, Sai Yin, Yongran Huo, Linong Ji

“…This retrospective study aimed to characterize the clinical features and glucose patterns of ICI-T1D in Chinese individuals and compare them with those of traditional T1D. …”
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Analysis of ferritinophagy-related genes associated with the prognosis and regulatory mechanisms in non-small cell lung cancer by Yuan Hao, Xin Wang, Zerong Ni, Yuhui Ma, Jing Wang, Wen Su

“…A nomogram incorporating clinicopathological features and risk scores was developed to predict patient outcomes. …”
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Diagnosis and management of endometrial hyperplasia: A UK national audit of adherence to national guidance 2012-2020. by Ian Henderson, Naomi Black, Hajra Khattak, UKARCOG Working Group Authors, Janesh K Gupta, Michael P Rimmer

“…We aimed to describe the care of patients with EH; to compare the patterns of care for those with EH with national guidance to identify opportunities for quality improvement; and to compare patterns of care prior to and following the introduction of national guidance to understand its impact.…”
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Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

“…We extracted 94 physiological features across 6MWT phases (baseline, walking, recovery) and clinical variables, developing predictive models using five machine learning algorithms evaluated through rigorous five-fold cross-validation. …”
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Research on Machine Learning-Based Extraction and Classification of Crop Planting Information in Arid Irrigated Areas Using Sentinel-1 and Sentinel-2 Time-Series Data by Lixiran Yu, Hongfei Tao, Qiao Li, Hong Xie, Yan Xu, Aihemaiti Mahemujiang, Youwei Jiang

“…By leveraging long time-series remote sensing images from Sentinel-1 and Sentinel-2, the spectral, index, texture, and polarization features of the ground objects in the study area were extracted. …”
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Facilitating Thought Progression to Reduce Depressive Symptoms: Randomized Controlled Trial by Shai-Lee Yatziv, Paola Pedrelli, Shira Baror, Sydney Ann DeCaro, Noam Shachar, Bar Sofer, Sunday Hull, Joshua Curtiss, Moshe Bar

“… BackgroundThe constant rise in the prevalence of major depressive disorder calls for new, effective, and accessible interventions that can rapidly and effectively reach a wide range of audiences. Recent developments in the digital health domain suggest that dedicated online platforms may potentially address this gap. …”
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Post-vaccination immunity phenotypes upon usage of EpiVacCorona vaccine in the persons who suffered COVID-19 by L. P. Sizyakina, I. I. Andrreeva, M. V. Kharitonova, N. S. Zaitseva, D. S. Lyubimov, V. Ya. Zakurskaya, A. А. Totolian

“…When assessing the data of post-vaccinal immunity checked 21 days after 1st dose of the vaccine, the patients were divided into 2 groups: those who did not respond, and those who developed the immune response. In order to identify possible reasons for different phenotypic patterns of humoral response to vaccination, a comparative analysis of B lymphocyte indexes was carried out in these groups. …”
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Clinical characteristics of COVID-19 in children and adolescents: insights from an Italian paediatric cohort using a machine-learning approach by Carlo Giaquinto, Daniela Paolotti, Daniele Donà, Stefania Fiandrino, Piero Poletti, Michael Davis Tira, Costanza Di Chiara

“…It aims to identify patterns in COVID-19 morbidity by clustering individuals based on symptom similarities and duration of symptoms and develop a machine-learning tool to classify new cases into risk groups.Methods We propose a data-driven approach to explore changes in COVID-19 characteristics by analysing data from 581 children and adolescents collected within a paediatric cohort at the University Hospital of Padua. …”
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Bevacizumab in Platinum-Sensitive Recurrent Epithelial Ovarian Cancer: A Risk-Stratified Analysis by İrem Öner, Pınar Karaçin

“…In this respect, our study aims to contribute to developing more personalized treatment strategies for specific patient subgroups.…”
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The evolutionary history of Plasmodium falciparum from mitochondrial and apicoplast genomes of China-Myanmar border isolates by Yini Tian, Run Ye, Dongmei Zhang, Yilong Zhang

“…A new genotyping tool based on a robust mitochondrial (mt) /apicoplast (apico) barcode was developed to estimate genetic diversity and infer the evolutionary history of Plasmodium falciparum across the major distribution ranges. …”
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CPS-IIoT-P2Attention: Explainable Privacy-Preserving With Scaled Dot-Product Attention in Cyber-Physical System-Industrial IoT Network by Yakub Kayode Saheed, Joshua Ebere Chukwuere

“…These mechanisms adaptively modify their emphasis to prioritize crucial features within the CPS-IIoT network traffic data, providing additional computational resources to data segments that are likely to include abnormalities and patterns that indicate security issues. …”
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