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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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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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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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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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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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis by Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz

“… BackgroundThe increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. …”
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Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design by Faisal Ghaffar, Nadine M. Furtado, Imad Ali, Catherine Burns

“…Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies. …”
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Quantifying Stress and Relaxation: A New Measure of Heart Rate Variability as a Reliable Biomarker by Emese Rudics, András Buzás, Antónia Pálfi, Zoltán Szabó, Ádám Nagy, Emőke Adrienn Hompoth, József Dombi, Vilmos Bilicki, István Szendi, András Dér

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Drug Efficacy Recommendation System of Glioblastoma (GBM) Using Deep Learning by Sajid Naveed, Mujtaba Husnain, Ali Samad, Amna Ikram, Hina Afreen, Ghulam Gilanie, Najah Alsubaie

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Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study by Kexin Wang, Ning Luo, Zhaonan Sun, Xiangpeng Zhao, Lilan She, Zhangli Xing, Yuntian Chen, Chunlei He, Pengsheng Wu, Xiangpeng Wang, ZiXuan Kong

“…Abstract Objective To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted biparametric MRI (bpMRI) image features for predicting the aggressiveness of prostate cancer (PCa). …”
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Hereditary angioedema diagnosis evaluation score (HADES): A new clinical scoring system for predicting hereditary angioedema with C1 inhibitor deficiency by Ricardo Zwiener, MD, Rafael Zamora, MD, Carlos María Galmarini, MD, PhD, Laura Brion, PhD, Laura Arias, MD, Andrea Pino, MD, Paula Rozenfeld, PhD

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Fully integrated wearable control system for micro/nanorobot navigation by Zhanxiang Zhang, Lin Wang, Fengqi Jiang, Shimin Yu, Fengtong Ji, Tianhao Sun, He Zhang, Yanhe Zhu, Hao Chang, Tianlong Li, Jie Zhao

“…Here, we introduced a fully integrated wearable control system for micro/nanorobots navigation and manipulation, which is composed of a multifunctional sensor array, an artificial intelligence (AI) planner, and a magnetic field generator. …”
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CompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans by Raffaella Fiamma Cabini, Andrea Cozzi, Svenja Leu, Benedikt Thelen, Rolf Krause, Filippo Del Grande, Diego Ulisse Pizzagalli, Stefania Maria Rita Rizzo

“…CompositIA simplifies body composition assessment through an artificial intelligence-driven and open-source pipeline. Graphical Abstract…”
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