Wireless Body Area Network (WBAN) based Health Care Monitoring: A Comprehensive Review by Qaisar Ayyub

“… The Internet of Things (IoT) based Wireless Body Area Networks (WBAN), play a very important role in the implementation of IoT devices. It is an upcoming research area in which we implement new advancement techniques, such as various algorithms. …”
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A comprehensive review of energy harvesting and routing strategies for IoT sensors sustainability and communication technology by Hesam Nejati Sharif Aldin, Mostafa Razavi Ghods, Farnoush Nayebipour, Masoud Niazi Torshiz

“…Furthermore, the study explores routing algorithms within the IoT network context, recognizing their crucial role in addressing challenges related to sensor battery lifespan and energy conservation. …”
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Fostemsavir resistance in clinical context: a narrative review by Jonathan M. Schapiro, Rolf Kaiser, Mark Krystal, Chris M. Parry, Allan R. Tenorio, Eugene Stewart, Bruce Gilliam, Margaret Gartland, Andrew Clark, Jose R. Castillo-Mancilla

“…Different regions of gp120 interact to modify the temsavir binding pocket, with multiple amino acids playing a role in determining susceptibility. Extensive variability of HIV-1 gp120 means the susceptibility of clinical isolates to temsavir is also highly variable. …”
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Health inequities in medical crowdfunding: a systematic review by Yingying Cai, Syafila Kamarudin, Xiaoyu Jiang, Baiyu Zhou

“…These inequities were shaped and reinforced by platform algorithms and design features that privileged users with preexisting advantages. …”
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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…Empirical evaluations confirm the effectiveness of the proposed approach, highlighting its superiority over existing algorithms in both qualitative and quantitative analysis. …”
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Digitalization of Spectral Measurements in the Fourier Basis – Development Trends and Problems by O. V. Ponomareva, A. V. Ponomarev, N. V. Smirnova

“…An analysis of digital methods for measuring spectra showed that methods based on Discrete Fourier Transform (DFT) retain their leading role and are effective in almost all subject areas. …”
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Clinical application and immune infiltration landscape of stemness‐related genes in heart failure by Wenting Yan, Yanling Li, Gang Wang, Yuan Huang, Ping Xie

“…Feature selection was performed using two machine learning algorithms. Nomogram models were then constructed to predict HF risk based on the selected key genes. …”
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AI Act as EU Legislator’s Response to Challenges of Artificial Intelligence Development by Monika Wyszomirska

“…Introduction: In the context of the rapid development of artificial intelligence (AI) and the associated risks, it is crucial to consider how AI systems are marketed and used. …”
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Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…These findings underscore the active role of keratinocytes in periodontal health and inflammatory responses, contributing to precision medicine approaches in periodontology.…”
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Identification of aging-related biomarkers and immune infiltration analysis in renal stones by integrated bioinformatics analysis by Yuanzhao Wang, Nana Chen, Bangqiu Zhang, Pingping Zhuang, Bingtao Tan, Changlong Cai, Niancai He, Hao Nie, Songtao Xiang, Chiwei Chen

“…Abstract Renal stones (RS) are common urologic condition with unclear pathogenesis. Role of aging-related differentially expressed genes (ARDEGs) in RS remains poorly understood. …”
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Ferroptosis-disulfidptosis-related CHMP6 is a clinico-immune target in colorectal cancer by Yifei Zhu, Huixia Huang, Jiayu Chen, Keji Chen, Yanxi Yao, Yaxian Wang, Yuxue Li, Zhibing Qiu, Dawei Li, Ping Wei

“…Methods We developed a ferroptosis-disulfidptosis-related gene (FDRG) score using machine-learning algorithms to analyze gene modifications associated with these pathways in CRC, utilizing data from the TCGA and GEO databases. …”
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Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning by Rab Nawaz, Hani A. Albalawi, Syed Basit Ali Bukhari, Khawaja Khalid Mehmood, Muhammad Sajid

“…The classification of faults, indicated by the behavior of the electrical signals associated with them, plays a pivotal role in maintaining the reliability, stability, and security of electrical grids. …”
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Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy by Wuyuan Liao, Wuyuan Liao, Wuyuan Liao, Xinwei Zhou, Xinwei Zhou, Hansen Lin, Hansen Lin, Zihao Feng, Zihao Feng, Xinyan Chen, Yuhang Chen, Yuhang Chen, Minyu Chen, Minyu Chen, Mingjie Lin, Mingjie Lin, Gaosheng Yao, Gaosheng Yao, Jinwei Chen, Jinwei Chen, Haoqian Feng, Haoqian Feng, Yinghan Wang, Yinghan Wang, Zhiping Tan, Zhiping Tan, Youyan Tan, Jun Lu, Jun Lu, Pengju Li, Pengju Li, Jinhuan Wei, Jinhuan Wei, Li Luo, Li Luo, Liangmin Fu, Liangmin Fu, Liangmin Fu

“…Additionally, we employed algorithms such as CIBERSORT and ESTIMATE to assess the correlation between the risk score and TME components. …”
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Unveiling tumor-infiltrating immune cell-driven immune-mediated drug resistance in clear cell renal cell carcinoma: prognostic insights and therapeutic strategies by Jifeng Yang, Yixuan Xing, Jiusong Luan, Wenbo Yang, Xin Zhang, Yanhua Tian, Haisong Zhang

“…Methods Integrative analyses of transcriptomic and single-cell RNA sequencing data from multiple cohorts were employed to characterize immune and metabolic landscapes in ccRCC. Machine learning algorithms were utilized to identify key TIIC-related RNAs (TIIC-RNAs) associated with prognosis and therapeutic response. …”
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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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Prognostic and immunological implications of cathepsin Z overexpression in prostate cancer by Junyue Tao, Junyue Tao, Junyue Tao, Yiding Chen, Yiding Chen, Yiding Chen, Xiaokang Bian, Xiaokang Bian, Xiaokang Bian, Tingting Cai, Tingting Cai, Tingting Cai, Changhao Song, Changhao Song, Changhao Song, Chaozhao Liang, Chaozhao Liang, Chaozhao Liang, Zongyao Hao, Zongyao Hao, Zongyao Hao, Jialing Meng, Jialing Meng, Jialing Meng, Qintao Ge, Qintao Ge, Jun Zhou, Jun Zhou, Jun Zhou

“…Nevertheless, its specific role in prostate cancer (PCa) remains insufficiently understood. …”
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Identification of hub immune-related genes and construction of predictive models for systemic lupus erythematosus by bioinformatics combined with machine learning by Su Zhang, Weitao Hu, Yuchao Tang, Hongjie Lin, Xiaoqing Chen

“…Three machine learning algorithms were applied to DE-IRGs to screen for hub DE-IRGs. …”
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Personalized treatment decision-making using a machine learning-derived lactylation signature for breast cancer prognosis by Simin Min, Xiaonan Zhang, Yuling Liu, Weiqiang Wang, Jingwen Guan, Yuyan Chen, Meng Sun, Ziheng Wang, Tao Wang

“…A total of 108 algorithmic combinations were applied across multiple datasets to construct and validate the model. …”
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Literature Review of Prognostic Factors in Secondary Generalized Peritonitis by Valerii Luțenco, Adrian Beznea, Raul Mihailov, George Țocu, Verginia Luțenco, Oana Mariana Mihailov, Mihaela Patriciu, Grigore Pascaru, Liliana Baroiu

“…This review examines significant prognostic indicators and explores the potential role of scoring systems and artificial intelligence in risk stratification. …”
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Advancing multidisciplinary management of pediatric hyperinflammatory disorders by Francesco La Torre, Giovanni Meliota, Adele Civino, Angelo Campanozzi, Valerio Cecinati, Enrico Rosati, Emanuela Sacco, Nicola Santoro, Ugo Vairo, Fabio Cardinale

“…For Still's disease, the review highlights the transformative role of biologic therapies targeting IL-1 and IL-6 in reducing systemic inflammation and improving outcomes. …”
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