SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification by Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, Anila Usman, Ambreen Khawar, Syed Taimoor Hussain Shah, Aziz ul Rehman

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Current methodologies of creating material passports: A systematic literature review by Ioannis Markou, Derek Sinnott, Ken Thomas

“…In order to identify the technological gaps and to address these challenges, the study suggests the development of Dynamic Material Passports that incorporate advanced technologies like Artificial Intelligence for automated data collection, real-time updates, and seamless integration across digital platforms. …”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…Enhancing the diagnosis and treatment of laryngeal cancer can significantly improve patients’ prognosis and quality of life. Artificial intelligence (AI) technology shows promise as a valuable tool for diagnosing laryngeal cancer. …”
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Systems immunology integrates the complex endotypes of recessive dystrophic epidermolysis bullosa by Nell Hirt, Enzo Manchon, Qian Chen, Clara Delaroque, Aurelien Corneau, Patrice Hemon, Safaa Saker-Delye, Pauline Bataille, Jean-David Bouaziz, Emmanuelle Bourrat, Alain Hovnanian, Helene Le Buanec, Fawzi Aoudjit, Hicham El Costa, Nabila Jabrane-Ferrat, Reem Al-Daccak

“…Our study, demonstrates the particular inflammation and immunity characteristics of RDEB adults, with activated / effector T and dysfunctional natural killer cell signatures, concomitant with an overall pro-inflammatory lipid signature. Artificial intelligence prediction models and principal component analysis stress that RDEB is not solely confined to cutaneous issues but has complex systemic endotypes marked by immune dysregulation and hyperinflammation. …”
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Risk factors associated with human Mpox infection: a systematic review and meta-analysis by Nicola Luigi Bragazzi, Jianhong Wu, Jude Dzevela Kong, James Orbinski, Chigozie Louisa Jane Ugwu, Ali Asgary, Woldegebriel Assefa Woldegerima

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Predictive Value of CCTA Plaque Characteristics for the Progression and Prognosis of Coronary Artery Stenosis by Zhengteng LI, Min WANG, Dongmei PAN, Xiankai WANG

“…CCTA images were processed with an artificial intelligence software for plaque analysis, identifying 87 plaques. …”
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Radiomic prediction for durable response to high‐dose methotrexate‐based chemotherapy in primary central nervous system lymphoma by Haoyi Li, Mingming Xiong, Ming Li, Caixia Sun, Dao Zheng, Leilei Yuan, Qian Chen, Song Lin, Zhenyu Liu, Xiaohui Ren

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Efficacy of brain-computer interface training with motor imagery-contingent feedback in improving upper limb function and neuroplasticity among persons with chronic stroke: a doubl... by Myeong Sun Kim, Hyunju Park, Ilho Kwon, Kwang-Ok An, Hayeon Kim, Gyulee Park, Wooseok Hyung, Chang-Hwan Im, Joon-Ho Shin

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HistoBCAD: herramienta de código abierto para detección de cáncer de mama en imágenes histopatológicas by Carlos Abraham Pérez Marrero, Talía Vázquez Romaguera, Alexander Mulet De Los Reyes, Carlos R. Vázquez Seisdedos, Francisco Perdigón Romero

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Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization by Revathy Venkataramanan, Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, Sergey Serebryakov, Annmary Justine, Arpit Shah, Suparna Bhattacharya, Martin Foltin, Paolo Faraboschi, Kaushik Roy, Amit Sheth

“…The emergence of advanced artificial intelligence (AI) models has driven the development of frameworks and approaches that focus on automating model training and hyperparameter tuning of end-to-end AI pipelines. …”
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Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments by Ali Saeed, Muazzam A. Khan, Usman Akram, Waeal J. Obidallah, Soyiba Jawed, Awais Ahmad

“…Abstract Industry 4.0 represents the fourth industrial revolution, which is characterized by the incorporation of digital technologies, the Internet of Things (IoT), artificial intelligence, big data, and other advanced technologies into industrial processes. …”
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Physical parameters and biological factors affect the abscopal effect of combining radiotherapy with immunotherapy: an update on preclinical works by Wangcai Ren, Jialing Wen, Gang Guo, Gang Guo, Wenchao Gu, Shenke Zhang, Shenke Zhang, Chang Liu, Chang Liu, Kensuke Osada, Takashi Shimokawa, Qiaojuan Wang, Qiaojuan Wang, Yue Wang, Yue Wang, Xuanzhang Tu, Chen Li, Li Sui, Liqiu Ma, Liqiu Ma, Liqiu Ma

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Predicting phage-host interaction via hyperbolic Poincaré graph embedding and large-scale protein language technique by Jie Pan, Rui Wang, Wenjing Liu, Li Wang, Zhuhong You, Yuechao Li, Zhemeng Duan, Qinghua Huang, Jie Feng, Yanmei Sun, Shiwei Wang

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Digital twin-based modeling of natural gas leakage and dispersion in urban utility tunnels [version 2; peer review: 2 approved] by Jiansong Wu, Jitao Cai, Ziqi Han, Yanzhu Hu, Ming Fu, Yuefei Li, Xin Wang, Xiaofu Zou

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PDPN+ cancer‐associated fibroblasts enhance gastric cancer angiogenesis via AKT/NF‐κB activation and the CCL2‐ACKR1 axis by Zhenxiong Zhao, Hui Sun, Yingxue Liu, Yanqiu Zhang, Xin Wang, Xu Wang, Cong Tan, Shujuan Ni, Weiwei Weng, Meng Zhang, Lei Wang, Dan Huang, Wenchao Gu, Jinjia Chang, Weiqi Sheng, Mi‐die Xu

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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

“…Edge processing is a trend in developing new technologies that leverage Artificial Intelligence (AI) without transmitting large volumes of data to centralized processing services. …”
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Pivotal role of MiRNA's in malignant transformation of Oral Submucous Fibrosis by J.H. Shazia Fathima, Selvaraj Jayaraman, Asma Abdullah Nurul, Ramya Sekar, Inamul Hasan Madar, Logalakshmi Thirumani, Nazmul Huda Syed

“…However, challenges in standardization, sample variability, and off-target effects persist. Artificial Intelligence contributes to miRNA research, enhancing target prediction and understanding disease mechanisms. …”
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A QUALITATIVE ANALYSIS OF THE INFLUENCE OF MANAGEMENT INFORMATION SYSTEMS ON ORGANIZATIONAL DECISION-MAKING PROCESSES by Mubashshir Bin Mahbub, Mushfiq Nabil, Taskin Ahmed

“…Looking toward the future, participants expressed optimism about the potential of advanced technologies, such as artificial intelligence and machine learning, to enhance the capabilities of MIS and further refine decision-making processes. …”
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Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework by Khalid AL Fararni, Fouad Nafis, Badraddine Aghoutane, Ali Yahyaouy, Jamal Riffi, Abdelouahed Sabri

“…The ultimate goal is to develop a recommender system based on big data technologies, artificial intelligence, and operational research to promote tourism in Morocco, specifically in the Daraâ-Tafilalet region.…”
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FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction by Ting Qiu, Chan-Tong Lam, Bowie Liu, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im

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