A novel approach for target deconvolution from phenotype-based screening using knowledge graph by Xiaohong Wang, Meifang Zhang, Jianliang Xu, Xin Li, Jing Xiong, Haowei Cao, Fangkun Dou, Xue Zhai, Hua Sun

“…Abstract Deconvoluting drug targets is crucial in modern drug development, yet both traditional and artificial intelligence (AI)-driven methods face challenges in terms of completeness, accuracy, and efficiency. …”
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Association of C-Reactive Protein with Short-Term Outcomes in Spontaneous Intracerebral Hemorrhage Patients with or without Infection: From a Large-Scale Nationwide Longitudinal Re... by Du Y, Liu L, Kang K, Lin Y, Gu H, Bian L, Li Z, Zhao X

“…Yang Du,1,2 Lijun Liu,1,2 Kaijiang Kang,1,2 Yijun Lin,1,2 Hongqiu Gu,1,2 Liheng Bian,1,2 Zixiao Li,1,2 Xingquan Zhao1– 4 1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, People’s Republic of China; 3Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China; 4Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People’s Republic of ChinaCorrespondence: Xingquan Zhao; Zixiao Li, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 119 West Road, South 4th Ring, Fengtai District, Beijing, People’s Republic of China, 100070, Tel +86-10-59975835, Email lizixiao2008@hotmail.com; zxq@vip.163.comAim: To study the relationship between elevated C-reactive protein (CRP) levels, infection, and spontaneous intracerebral hemorrhage (ICH) outcomes.Methods: Patients were classified into four groups (Q1–Q4). …”
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Attention-enhanced optimized deep ensemble network for effective facial emotion recognition by Taimoor Khan, Muhammad Yasir, Chang Choi

“…Facial emotion recognition (FER) is rapidly advancing, with significant applications in healthcare, human-computer interactions, and biometric security, driven by recent advances in artificial intelligence (AI), computer vision, and deep learning. …”
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Current Trends and Perspectives of Pressure Wire-Based Coronary Artery Bypass Grafting by Yoshiyuki Takami, Atsuo Maekawa, Koji Yamana, Kiyotoshi Akita, Kentaro Amano, Wakana Niwa, Kazuki Matsuhashi, Yasushi Takagi

“…Beyond the diagnostic phase, CTCA, augmented by automatic artificial intelligence, holds great potential for guiding therapeutic interventions in the future.…”
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Research Progress and Trends in Exercise Interventions for Mild Cognitive Impairment: A Bibliometric Visualization Analysis Using CiteSpace by Han Q, Kim SM

“…Qifeng Han,1 Sung Min Kim1– 4 1Department of Physical Education, Hanyang University, Seoul, Republic of Korea; 2Department of Sport Science, Hanyang University, Seoul, Republic of Korea; 3BK21 FOUR Human-Tech Convergence Program, Hanyang University, Seoul, Republic of Korea; 4Center for Artificial Intelligence Muscle, Hanyang University, Seoul, Republic of KoreaCorrespondence: Sung Min Kim, Department of Sport Science, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul, Republic of Korea, Email minarthur@hanyang.ac.krPurpose: With the increasing global aging population, exercise interventions for mild cognitive impairment (MCI) have gained significant research attention. …”
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Technoeconomic Feasibility of Wind and Solar Generation for Off-Grid Hyperscale Data Centres by William Rollinson, Andrew Urquhart, Murray Thomson

“…As a global community our use of data is increasing exponentially with emerging technologies such as artificial intelligence (AI), leading to a vast increase in the energy demand for data centres worldwide. …”
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Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

“…Deep Neural Networks (DNNs) have been widely adopted in several advanced artificial intelligence applications due to their competitive accuracy to the human brain. …”
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Automated Audit and Self-Correction Algorithm for Seg-Hallucination Using MeshCNN-Based On-Demand Generative AI by Sihwan Kim, Changmin Park, Gwanghyeon Jeon, Seohee Kim, Jong Hyo Kim

“…The ASHSC algorithm utilizes a two-stage on-demand strategy with mesh-based convolutional neural networks and generative artificial intelligence. The segmentation quality level (SQ-level)-based surveillance stage was evaluated using the area under the receiver operating curve, sensitivity, specificity, and positive predictive value. …”
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Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types by Seung Wan Moon, Jisup Kim, Young Jae Kim, Sung Hyun Kim, Chi Sung An, Kwang Gi Kim, Chan Kwon Jung

“…Abstract Recently, as the number of cancer patients has increased, much research is being conducted for efficient treatment, including the use of artificial intelligence in genitourinary pathology. Recent research has focused largely on the classification of renal cell carcinoma subtypes. …”
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A blockchain-based secure path planning in UAVs communication network by Shubhani Aggarwal, Ishan Budhiraja, Sahil Garg, Georges Kaddoum, Bong Jun Choi, M. Shamim Hossain

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ALL-Net: integrating CNN and explainable-AI for enhanced diagnosis and interpretation of acute lymphoblastic leukemia by Abhiram Thiriveedhi, Swetha Ghanta, Sujit Biswas, Ashok K. Pradhan

“…This article presents a new model, ALL-Net, for the detection of acute lymphoblastic leukemia (ALL) using a custom convolutional neural network (CNN) architecture and explainable Artificial Intelligence (XAI). A dataset consisting of 3,256 peripheral blood smear (PBS) images belonging to four classes—benign (hematogones), and the other three Early B, Pre-B, and Pro-B, which are subtypes of ALL, are utilized for training and evaluation. …”
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Critical Review of Advances and Numerical Modeling in Absorbers and Desorbers of Absorption Chillers: CFD Applications, Constraints, and Future Prospects by Suellen Cristina Sousa Alcântara, José Ângelo Peixoto da Costa, Alvaro Antonio Villa Ochoa, Gustavo de Novaes Pires Leite, Álvaro Augusto Soares Lima, Héber Claudius Nunes Silva, Paula Suemy Arruda Michima, Igor Cavalcanti da Silveira, Allysson Macário de Araújo Caldas, Amín Altamirano

“…The article also explores the integration of artificial intelligence (AI) in CFD analyses, aiming to optimize modeling and system performance. …”
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A review on techno-economic analysis of lignocellulosic biorefinery producing biofuels and high-value products by Ronak Patel, T.S. Rajaraman, Paresh H. Rana, Nikita J. Ambegaonkar, Sanjay Patel

“…Finally, the role of policy mechanisms, Artificial Intelligence (AI) and other data-driven technologies are also discussed in the biorefinery context.…”
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DeepReducer: A linear transformer-based model for MEG denoising by Hui Xu, Li Zheng, Pan Liao, Bingjiang Lyu, Jia-Hong Gao

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Efficient and Effective Diabetes Care in the Era of Digitalization and Hypercompetitive Research Culture: A Focused Review in the Western Pacific Region with Malaysia as a Case Stu... by Boon-How Chew, Pauline Siew Mei Lai, Dhashani A/P Sivaratnam, Nurul Iftida Basri, Geeta Appannah, Barakatun Nisak Mohd Yusof, Subashini C. Thambiah, Zubaidah Nor Hanipah, Ping-Foo Wong, Li-Cheng Chang

“…Lastly, digital medicine and how artificial intelligence could contribute to diabetes care and open science practices in research are also discussed.…”
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可穿戴设备在卒中风险预测及卒中后管理中的应用进展 Research Progress on the Application of Wearable Devices in Stroke Risk Prediction and Post-Stroke Management... by 吴雅婷1，魏宸铭1，桑振华1，陈乐1，梁怡凡1，武剑1，2，3 (WU Yating1, WEI Chenming1, SANG Zhenhua1, CHEN Le1, LIANG Yifan1, WU Jian1,2,3)

“…By integrating with health management platforms and artificial intelligence algorithms, wearable devices can significantly enhance the accuracy of risk assessment, optimize rehabilitation treatment plans, and thus improve the patients’ outcomes. …”
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Well-Production Forecasting Using Machine Learning with Feature Selection and Automatic Hyperparameter Optimization by Ruibin Zhu, Ning Li, Yongqiang Duan, Gaofeng Li, Guohua Liu, Fengjiao Qu, Changjun Long, Xin Wang, Qinzhuo Liao, Gensheng Li

“…To address these issues, machine learning, a widely adopted artificial intelligence approach, is employed to develop production forecasting models in order to enhance the accuracy of oil and gas well-production predictions. …”
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Association between serum total bilirubin levels and 28-day all-cause mortality after intracerebral hemorrhage by Dachang Qiu, Guangwei Li, Yongfei Dong, Yongfei Dong

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Clinical outcomes of dogs with high-grade cutaneous mast cell tumors by Siew Mei Ong, Siew Mei Ong, Charly McKenna, Christopher Pinard, Christopher Pinard, Christopher Pinard, Christopher Pinard, Danielle Richardson, Michelle L. Oblak

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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

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