Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer by Li Ning, Li Ning, Xiu Li, Xiu Li, Yating Xu, Yating Xu, Yu Si, Yu Si, Hongting Zhao, Qinling Ren, Qinling Ren

“…Immunogenic cell death-related features (ICDRs) were constructed using multiple machine algorithms, and ICDRs were evaluated in training and validation sets to provide quantitative tools for predicting prognosis in clinical practice. …”
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Scalable Hyperspectral Enhancement via Patch-Wise Sparse Residual Learning: Insights from Super-Resolved EnMAP Data by Parth Naik, Rupsa Chakraborty, Sam Thiele, Richard Gloaguen

“…In this contribution, we propose a novel parallel patch-wise sparse residual learning (P²SR) algorithm for resolution enhancement based on fusion of HSI and MSI. The proposed method uses multi-decomposition techniques (i.e., Independent component analysis, Non-negative matrix factorization, and 3D wavelet transforms) to extract spatial and spectral features to form a sparse dictionary. …”
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The role of vascularity and the fibrovascular interface in interstitial lung diseases by Jana Dietrich, Alice Kang, Birger Tielemans, Stijn E. Verleden, Hassan Khalil, Florian Länger, Philipp Bruners, Steven J. Mentzer, Tobias Welte, Michael Dreher, Danny D. Jonigk, Maximilian Ackermann

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Deep learning of pretreatment multiphase CT images for predicting response to lenvatinib and immune checkpoint inhibitors in unresectable hepatocellular carcinoma by Nan-Qing Liao, Zhu-Jian Deng, Wei Wei, Jia-Hui Lu, Min-Jun Li, Liang Ma, Qing-Feng Chen, Jian-Hong Zhong

“…They were divided into training (n = 72) and validation (n = 48) cohorts. …”
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A Multidimensional Visible Evaluation Model for Stroke Rehabilitation: A Pilot Study by Ping Xie, Ying Wang, Xiaoling Chen, Yingying Hao, Haoxiang Yang, Yinan Yang, Meng Xu

“…This research provides a new approach to evaluation and rehabilitation training after stroke, and explicates possible pathomechanisms.…”
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Prediction of risk factors associated with the development of multidrug-resistant tuberculosis in patients with tuberculosis by Haiyan Chen, Haiyan Chen, Zhaowei Tong, Jianfeng Zhong, Yong Tong, Qingqiu Zeng, Bin Shen, Qun Song, Fuchu Qian, Fuchu Qian, Xin Xiao

“…The area under the receiver operating characteristic (ROC) curve was 0.902 for the training group and 0.909 for the validation group. …”
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Multi-View Data Augmentation to Improve Wound Segmentation on 3D Surface Model by Deep Learning by R. Niri, E. Gutierrez, H. Douzi, Y. Lucas, S. Treuillet, B. Castaneda, I. Hernandez

“…Wound area segmentation really progressed with the emergence of deep learning, due to its robustness in uncontrolled lighting and no need to design hand-crafted features but two limits have still to be overcome: firstly, its performance relies on the size and quality of the training dataset in the medical field, where data annotation is costly and time-consuming; secondly the accuracy of the segmentation depends highly on the camera distance and angle and moreover perspective effects prevent measuring real surfaces in single views. …”
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A Self-Interpretable Deep Learning Model for Seizure Prediction Using a Multi-Scale Prototypical Part Network by Yikai Gao, Aiping Liu, Lanlan Wang, Ruobing Qian, Xun Chen

“…The epileptic seizure prediction (ESP) method aims to timely forecast the occurrence of seizures, which is crucial to improving patients’ quality of life. Many deep learning-based methods have been developed to tackle this issue and achieve significant progress in recent years. …”
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NeuroRF FarmSense: IoT-fueled precision agriculture transformed for superior crop care by Tarun Vats, Shrey Mehra, Uday Madan, Amit Chhabra, Akashdeep Sharma, Kunal Chhabra, Sarabjeet Singh, Utkarsh Chauhan

“…By utilizing NN predictions as input features for RF training and refining RF through grid search with cross-validation, the ensemble model produces highly precise predictions, facilitating strategic crop cultivation for optimal yields across diverse environmental conditions. …”
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Predicting axial load capacity in elliptical fiber reinforced polymer concrete steel double skin columns using machine learning by Focai Yu, Haytham F. Isleem, Walaa J. K. Almoghayer, Ramy I. Shahin, Saad A. Yehia, Mohammad Khishe, Mohamed Kamel Elshaarawy

“…The study provided insights into the contributions of individual features to predictions using the SHapley Additive exPlanations (SHAP) approach. …”
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Medication errors in malaria management in children: insights from pharmacovigilance data in the Democratic Republic of Congo by Mireille Ngale Amba, Erick Kamangu Ntambwe, Aline Engo Biongo, Nsengi Ntamabyaliro, Gauthier Mesia Kahunu, Joseph Bodi Mabiala, Celestin Nsibu Ndosimao, Gaston Tona Lutete, Ghada Miremont-Salamé, Annie Fourrier-Réglat

“…The information available in VigiBase® did not allow us to evaluate the overall process of malaria management. …”
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Social Responsibility and Accountability: The Outcome of Integrating Health, Treatment, and Medical Education by Seyed Hasan Emami-Razavi, Mohammad Hossein Heidarzadeh, Alireza Moshfegh

“…One of the primary goals and features of this integrated system is accountability to the community health needs. …”
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Human interactions remain at the heart of rehabilitation with advanced technology: a practice-embedded longitudinal qualitative study with allied health clinicians by Louise Michelle Nettleton Pearce, Leanne Hassett, Catherine Sherrington, Julie Pryor

“…An overarching finding that human interactions remain at the heart of rehabilitation with advanced technology, comprised three major themes with 12 subthemes. (1) Technology integration involves cognitive and emotional labour for clinicians, stemming from determining the value-add of advanced technology, juggling learning demands and negotiating patients’ high expectations of technology. (2) Contextual factors shape clinician uptake and ongoing use of technology, including organisational culture, professional discipline, rehabilitation setting, patient characteristics and device features. (3) Shared understanding and priorities promote technology implementation and sustainment, including understanding advanced technology in relation to conventional therapy, creating a well-designed training model, equipping clinicians to manage patient expectations and maintaining a commitment to evidence-based practice. …”
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Assessment of dispatch-assisted cardiopulmonary resuscitation performance during out-of- hospital cardiac arrest in a Tuscan emergency operation center: a retrospective study by Giulia Ballini, Andrea Mezzetti, Stefano Bambi, Simona Casini, Yari Longobucco, Camilla Elena Magi, Laura Rasero

“…Conclusions: The adoption of a standardised protocol for delivering pre-arrival instructions, along with training programs focusing on OHCA and interview techniques, is strongly recommended based on the findings of our study. …”
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From rainforests to drylands: a context-specific framework for mapping land use and land cover dynamics in Northeast Brazil (2000–2020) by Khalil Ali Ganem, Yongkang Xue, Andeise Cerqueira Dutra, Frans Germain Corneel Pareyn, Yosio Edemir Shimabukuro

“…Binary masks excluding non-mangrove pixels during RF training significantly improved mangrove-rainforest separation. …”
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Toward Robust Lung Cancer Diagnosis: Integrating Multiple CT Datasets, Curriculum Learning, and Explainable AI by Amira Bouamrane, Makhlouf Derdour, Akram Bennour, Taiseer Abdalla Elfadil Eisa, Abdel-Hamid M. Emara, Mohammed Al-Sarem, Neesrin Ali Kurdi

“…Curriculum learning was used to train the model, starting with simple sets to learn complicated ones quickly. …”
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Integration of Graph Neural Networks and multi-omics analysis identify the predictive factor and key gene for immunotherapy response and prognosis of bladder cancer by Shuai Ren, Yongjian Lu, Guangping Zhang, Ke Xie, Danni Chen, Xiangna Cai, Maodong Ye

“…Results The final GNNs model had an AUC of 0.785 on the training set and an AUC of 0.839 on the validation set. …”
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Research on the Impact of Shot Selection on Neuromuscular Control Strategies During Basketball Shooting by Qizhao Zhou, Shiguang Wu, Jiashun Zhang, Zhengye Pan, Ziye Kang, Yunchao Ma

“…An inverse mapping model of sEMG signals and spinal α-motor neuron pool activity was developed based on the Debra muscle segment distribution theory. …”
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THE PHENOMENON OF VIRTUAL IDENTITY: THE CONTEMPORARY CONDITION OF THE PROBLEM by E. L. Soldatova, D. N. Pogorelov

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High Accuracy of Epileptic Seizure Detection Using Tiny Machine Learning Technology for Implantable Closed-Loop Neurostimulation Systems by Evangelia Tsakanika, Vasileios Tsoukas, Athanasios Kakarountas, Vasileios Kokkinos

“…Appropriate data preprocessing was performed, and two training datasets with 1000 records of non-epileptic and epileptic iEEG signals were created. …”
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