Business Model Innovation through the Expansion of Digital Platforms by Seyed Hamed Vares, Nastaran Haji Heydari, Mohammad Kargar Shouraki, Morteza Hadizadeh

“…Findings The findings of this study highlight the pivotal role of digital platforms in accessing big data and conducting intelligent data analyses. These platforms enable organizations to process raw data more effectively and leverage advanced techniques such as machine learning and artificial intelligence to extract actionable insights. …”
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Development of a multidimensional 1-year mortality prediction model for patients discharged from the geriatric department: a longitudinal cohort study based on comprehensive geriat... by Jiaojiao Li, Lin Kang, Xiaohong Liu, Xiaohong Sun, Minglei Zhu, Qiumei Wang, Xuan Qu, Ning zhang, Eryu Xia, Fei Lu, Shuo Liu, Shuang Jin, Xueping Wang, Guojun Yao

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Understanding the Feasibility to Implement Schistosomiasis Elimination Project Under China-Zimbabwe Cooperation: A Pilot Study Protocol by Yingjun Qian, Nicholas Midzi, Shizhu Li, Masceline Jenipher Mutsaka-Makuvaza, Shan Lv, Wei Ding, Zhiqiang Qin, Hongmei Li, Jie Zhou, Ling Tang, Changlian Li, Xinling Yu, Liang Shi, White Soko, Isaac Phiri, Cremance Tshuma, Munyaradzi Dobbie, Xiao-Nong Zhou

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Brain Structural Correlates of EEG Network Hyperexcitability, Symptom Severity, Attention, and Memory in Borderline Personality Disorder by Andrea Schlump, Bernd Feige, Swantje Matthies, Katharina von Zedtwitz, Isabelle Matteit, Thomas Lange, Kathrin Nickel, Katharina Domschke, Marco Reisert, Alexander Rau, Markus Heinrichs, Dominique Endres, Ludger Tebartz van Elst, Simon Maier

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Prevalence and attributable health burdens of vector-borne parasitic infectious diseases of poverty, 1990–2021: findings from the Global Burden of Disease Study 2021 by Yin-Shan Zhu, Zhi-Shan Sun, Jin-Xin Zheng, Shun-Xian Zhang, Jing-Xian Yin, Han-Qing Zhao, Hai-Mo Shen, Gad Baneth, Jun-Hu Chen, Kokouvi Kassegne

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Prostate cancer classification using 3D deep learning and ultrasound video clips: a multicenter study by Wenjie Lou, Peizhe Chen, Chengyi Wu, Qinghua Liu, Lingyan Zhou, Lingyan Zhou, Maoliang Zhang, Jing Tu, Zhengbiao Hu, Cheng Lv, Jie Yang, Xiaoyang Qi, Xingbo Sun, Yanhong Du, Xueping Liu, Yuwang Zhou, Yuanzhen Liu, Yuanzhen Liu, Chen Chen, Chen Chen, Chen Chen, Zhengping Wang, Jincao Yao, Jincao Yao, Jincao Yao, Jincao Yao, Jincao Yao, Kai Wang

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An explorable model of an adverse outcome pathway of cytokine release syndrome related to the administration of immunomodulatory biotherapeutics and cellular therapies by Alexander Mazein, Oxana Lopata, Kristin Reiche, Kristin Reiche, Kristin Reiche, Katherina Sewald, Katherina Sewald, Miriam Alb, Christina Sakellariou, Patricia Gogesch, Hannah Morgan, Vanessa Neuhaus, Vanessa Neuhaus, Nhu-Nguyen Pham, Nhu-Nguyen Pham, Charline Sommer, Charline Sommer, Ethan Perkins, Ethan Perkins, Birgit Fogal, Muhammad Shoaib, Reinhard Schneider, Reinhard Schneider, Venkata Satagopam, Venkata Satagopam, Marek Ostaszewski, Marek Ostaszewski

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Remote, smart telemonitoring of COVID-19 survivors for early detection of deterioration in cardiac health (the PARTMO study) by Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Nutan Maurya, Nutan Maurya, Susan San Miguel, Rumbidzai Teramayi, Ahilan Parameswaran, Annamarie D’Souza, Gregory Melbourne, Joseph Descallar, Young Juhn, Enoch Chan, Jerome Pong

“…Data were transmitted in real-time to a mobile phone via Bluetooth technology, and results were generated through artificial intelligence (AI) algorithms. All the data were reviewed for arrhythmia detection and escalated to the participant’s general practitioner (if detected) to determine the appropriate intervention. …”
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Prenatal particulate matter exposure and risk of bronchopulmonary dysplasia in very preterm infants: a retrospective cohort study by Lin Yuan, Lan Zhang, Qing Wang, Renjie Chen, Jianguo Zhou, Yun Cao, Libo Wang, Wen He, Xiaobo Zhang, Yingwen Wang, Jiayu Wang, Baihe Feng, Qinglin He, Yuanyuan Qi, Jiayu Guo

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Shifting dynamics of self-immolation in the capital of Iran? The rising trend among young, unmarried, less-educated men by MohammadAli Shokri, SaeedehSadat Khalili, Abdol-Hossein Vahabie, Atefeh Ghanbari Jolfaei, Amir-Abbas Keshavarz-Akhlaghi, Mostafa Dehmardei, Fatemeh Sadat Mirfazeli

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Individual stress reactivity predicts alcohol craving and alcohol consumption in alcohol use disorder in experimental and real-life settings by Judith Zaiser, Sabine Hoffmann, Sina Zimmermann, Tatjana Gessner, Milena Deck, Nina Kim Bekier, Martin Abel, Philipp Radler, Jens Langejürgen, Bernd Lenz, Sabine Vollstädt-Klein, Jan Stallkamp, Clemens Kirschbaum, Falk Kiefer, Patrick Bach

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Integrated metabolomic, transcriptomic and network analysis elucidates therapeutic mechanisms of Ganoderma lucidum spore oil against granulomatous pulmonary nodules by Ya Liu, Wendong Xu, Kexin Wang, Kexin Wang, Zhiye You, Xiaohong Chen, Xiaohong Chen, Huihui Ti, Xiaoli Liang, Lin Cao, Hongfei Cai, Juyan Liu, Zifeng Yang, Zifeng Yang, Zifeng Yang

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Impact of Di-(2-Ethylhexyl)-Phthalate on Metabolic Syndrome: Insights from Network Toxicology and Molecular Docking and Dynamics by Chen L, Huang YL, Liu F, Huang N, Zeng DC, Zhong YB, Liao JH, Wang MY

“…These findings highlight the potential role of DEHP in exacerbating MetS and provide a basis for mitigating its health risks through targeted interventions. Further experimental validation is needed in the future to confirm these mechanistic insights.Keywords: DEHP, metabolic syndrome, network toxicology, molecular docking…”
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Odor induced functional connectivity alteration of POC-anterior frontal cortex-medial temporal cortex in patients with mild cognitive impairment by Weiping Li, Jianan Zhou, Shuying Li, Min Wu, Yajing Zhu, Qian Chen, Futao Chen, Xuefeng Ma, Xin Zhang, Zhengge Wang, Jiaming Lu, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang

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Early efficacy of radiofrequency ablation for multifocal T1N0M0 papillary thyroid carcinoma: a multicenter study by Xinying Zhu, Gongli Zhou, Ying Zhou, Chen Chen, Lin Sui, Di Ou, Yuqi Yan, Lingyan Zhou, Zhiyan Jin, Jiaheng Huang, Yin Zheng, Chen Ni, Min Lai, Lujiao Lv, Jiafei Shen, Fang Cheng, Xiangkai Kong, Xuefeng Zhang, Ke Xu, Ruiqing Su, Ying Liu, Gang Dong, Shurong Wang, Minghua Ge, Dong Xu

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Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

“…Background Machine learning (ML), a subset of artificial intelligence (AI), uses algorithms to analyze data and predict outcomes without extensive human intervention. …”
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Left ventricle myocardial remodeling following septal myectomy in patients with hypertrophic obstructive cardiomyopathy by Guanyu Lu, Liqi Cao, Jiehao Ou, Xinyi Luo, Wei Zhu, Zhicheng Du, Jian Liu, Yuelong Yang, Xinyue Zhang, Peijian Wei, Hongxiang Wu, Huiming Guo, Hui Liu

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Advances in precision medicine for lupus nephritis: biomarker- and AI-driven diagnosis and treatment response prediction and targeted therapies by Shunlai Shang, Jikai Xia, Guosen He, Yan Zheng, Jian Zhang, Haitao Lu, Haifeng Wang, Wenge Li, Qinggang Li, Xiangmei Chen

“…The triadic synergy of molecular biomarker breakthroughs, iterative advances in intelligent computational tools and pioneering targeted therapies is poised to usher LN in a new era of customised diagnosis and intervention.…”
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An Empirically Validated Framework for Automated and Personalized Residential Energy-Management Integrating Large Language Models and the Internet of Energy by Vinícius Pereira Gonçalves, Andre Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Matheus Noschang de Oliveira, Rodolfo Ipolito Meneguette, Guilherme Dantas Bispo, Maria Gabriela Mendonça Peixoto, Geraldo Pereira Rocha Filho

“…Baseline energy consumption was measured and compared with post-intervention usage to assess system impact. Statistical analyses included k-means clustering, multiple linear regression, and paired <i>t</i>-tests. …”
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Development and validation of deep learning- and ensemble learning-based biological ages in the NHANES study by Yushu Huang, Xifan Yang, Qi Wang, Adila Abula, Yue Dong, Wenyuan Li, Wenyuan Li

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