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For: Medanki S, Dommati N, Bodapati HH, Katru VNSK, Moses G, Komaraju A, Donepudi NS, Yalamanchili D, Sateesh J, Turimerla P. Artificial intelligence powered glucose monitoring and controlling system: Pumping module. World J Exp Med 2024; 14(1): 87916 [PMID: 38590308 DOI: 10.5493/wjem.v14.i1.87916]
URL: https://www.wjgnet.com/2220-315x/full/v14/i1/87916.htm
Number Citing Articles
1
Rasha Dheyaa Mahdi AL-Khafaji, Jaysuman Bin Pusppanathan, Ahmad Moolla, Fatin Aliah Phang Abdullah. Emerging Science and Technology for Human Well-BeingIFMBE Proceedings 2025; 128: 87 doi: 10.1007/978-3-031-97578-3_8
2
Raj K Chaudhary, Obaid Ali, Amrendra Kumar, Abilesh Kumar, Anjum Pervez. Double Diabetes: A Converging Metabolic and Autoimmune Disorder Redefining the Classification and Management of DiabetesCureus 2025;  doi: 10.7759/cureus.80495
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J.C. Wolber, M. E. Samadi, J. Sellin, A. Schuppert. Multimodal large language models and mechanistic modeling for glucose forecasting in type 1 diabetes patientsJournal of Biomedical Informatics 2025; 172: 104945 doi: 10.1016/j.jbi.2025.104945
4
Divya Govindaraju, Sutha Subbian. Event-triggered smart dual hormone artificial pancreas for patient-specific drug deliveryScientific Reports 2025; 15(1) doi: 10.1038/s41598-025-18085-9
5
Biswajit Mallick, Harish Chandra Mohanta. Development of an Artificial Pancreas with a Low-cost Insulin Pump2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) 2024; : 1 doi: 10.1109/SCOPES64467.2024.10991062
6
David C. Klonoff, Richard M. Bergenstal, Eda Cengiz, Mark A. Clements, Daniel Espes, Juan Espinoza, David Kerr, Boris Kovatchev, David M. Maahs, Julia K. Mader, Nestoras Mathioudakis, Ahmed A. Metwally, Shahid N. Shah, Bin Sheng, Michael P. Snyder, Guillermo Umpierrez, Mandy M. Shao, Agatha F. Scheideman, Alessandra T. Ayers, Cindy N. Ho, Elizabeth Healey. Continuous Glucose Monitoring Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence ApplicationsJournal of Diabetes Science and Technology 2025; 19(6): 1515 doi: 10.1177/19322968251353228
7
Reetu Singh, Priyanshu Nema, Arpana Purohit, Satyamshyam Vishwakarma, Shyamji Tantuway, Pradhumn Namdeo, Ajay Kumar, Vandana Soni, Sushil Kumar Kashaw. Advancements in glucose biosensors: Innovations for wearable and real-time monitoringTalanta 2026; 299: 129045 doi: 10.1016/j.talanta.2025.129045
8
Mark A. Strand. The role of pharmacy in promoting public health: Pharmacy and public health in 2050Journal of the American Pharmacists Association 2025; 65(1): 102272 doi: 10.1016/j.japh.2024.102272
9
Bixia Zhou, Xin Li, Yuchen Pan, Bingfang He, Bingbing Gao. Artificial intelligence-assisted next-generation biomaterials: From design and preparation to medical applicationsColloids and Surfaces B: Biointerfaces 2025; 255: 114970 doi: 10.1016/j.colsurfb.2025.114970
10
Konstantinos Markakis, Andriani Vazeou. Reference Module in Biomedical Sciences2025;  doi: 10.1016/B978-0-443-13825-6.00296-X
11
Yifang Zhao, Jie Wu, Ping Shen, Jiayu Li, Wanru Xin, Yunting Bai. A review of wearable flexible sensors for sports: from materials to applicationsInternational Journal of Smart and Nano Materials 2025; : 1 doi: 10.1080/19475411.2025.2552803
12
Yixuan Jiang, Xingrui Li, Zhuozhen Li, Hanyu Jiang, Bin Wang, Lin Xiang. Smart stimuli-responsive biomaterials for oral and maxillofacial tissue repair and regenerationChemical Engineering Journal 2025; 524: 168339 doi: 10.1016/j.cej.2025.168339
13
Veena Mayya, Rajesh N.V.P.S. Kandala, Varadraj Gurupur, Christian King, Giang T. Vu, Thomas T.H. Wan. Need for an Artificial Intelligence-based Diabetes Care Management System in India and the United StatesHealth Services Research and Managerial Epidemiology 2024; 11 doi: 10.1177/23333928241275292
14
Phan Gia Le, Sungbo Cho. Microfluidic Paper-Based Sensors and Their Applications for Glucose SensingChemosensors 2025; 13(8): 293 doi: 10.3390/chemosensors13080293
15
Joseph Andrew Pepito, Neilan John Acaso, Rommel Merioles, Judith Ismael. Opportunities, Challenges, and Future Directions for the Integration of Automation in Nursing Practice: Discursive StudyJMIR Nursing 2025; 8: e72674 doi: 10.2196/72674
16
Kranthi Kumar Kotha, Eashwar Sai Komarla Rajasekhar, Sarad Pawar Naik Bukke, Hari Veluru, Rajasekhar Komarla Kumarachari. AI Model Design and Data Management for Disease PredictionAdvances in Computational Intelligence and Robotics 2025; : 59 doi: 10.4018/979-8-3373-5137-7.ch003