RESULTS OF CLINICAL TRIALS OF MEDICAL TREA TMENT OF RENAL CELL CARCINOMA IN 2014–2015 by A. M. Popov, O. B. Karyakin, A. D. Kaprin

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A hybrid fuzzy decision-making approach for evaluating the suppliers based on industry 5.0 and viable supply chain dimensions: a case study in medical devices manufacturing by Zeinab Asadi, Hassanali Aghajani, Mohammad Valipourkhatir, Erfan Babaee Tirkolaee

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A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models by Fahmida Kousar, Arshiya Sultana, Marwan Ali Albahar, Manoj Shamkuwar, Md Belal Bin Heyat, Mohd Ammar Bin Hayat, Saba Parveen, John Irish G. Lira, John Irish G. Lira, Khaleequr Rahman, Abdullah Alammari, Eram Sayeed

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Which curriculum components do medical students find most helpful for evaluating AI outputs? by William J. Waldock, George Lam, Ana Baptista, Risheka Walls, Amir H. Sam

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Discrete choice modelling of hypertension patients’ preferences for attributes of a public medical facility in Ibadan, Nigeria by Oluwaseun Aramide Otekunrin, Tekiyat Abiola Adebisi, Sururoh Adeniran-Babatunde, Olutosin Ademola Otekunrin

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Toward evidence-informed medical curricula: A scoping review protocol on social skills and emotional regulation by Thaysa Castro Molina, William Donegá Martinez, Vinicíus Araújo Pereira, Alba Regina de Abreu Lima, Vânia Maria Sabadoto Brienze, Emerson Roberto dos Santos, Valdir Carlos Severino Júnior, Camila Borge, Júlio César André

Subjects: “…Toward Evidence-Informed Medical Curricula: A Scoping Review Protocol on Social Skills and Emotional Regulation…”
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Examining funders’ roles in responsible research and innovation of medical neurotechnology by Denis Larrivee, Jennifer French, Alberto Antonietti, Zach McKinney, Noeline W. Prins, Joana Soldado-Magraner, Michael J. Young, Laura Y. Cabrera

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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

Subjects: “…Medical Diagnosis…”
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Edina contra Septem ou la résistance à la lutte des étudiantes de médecine d’Édimbourg en 1870 by Christian Auer

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FedWFC: Federated learning with weighted fuzzy clustering for handling heterogeneous data in MIoT networks by Le Sun, Shunqi Liu, Ghulam Muhammad

Subjects: “…Medical Internet of Things…”
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Editorial: Short and long-term treatment options in patients with acute coronary syndrome by Antonio Landi, Antonio Landi, Albert Varga, Verena Veulemans, Andrea Milzi, Andrea Milzi

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THE PROSPECTS OF E-LEARNING IMPLEMENTATION IN EDUCATIONAL PROCESS OF MEDICAL UNIVERSITY by A. A. Kurmangulov, O. I. Frolova, S. V. Soloveva

Subjects: “…medical education…”
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The Application of Lempel-Ziv Complexity in Medicine Science, Nature Science, Social Science, and Engineering: A Review and Prospect by Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng, Yongbo Li

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Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013–2024) by Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

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A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

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Organization of the regional cancer service to improve the detection of malignant new formations during the COVID-19 pandemic by S. V. Golubev, V. Yu. Startsev, Yu. V. Samsonov

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Formation and development of the language training methodology for foreign students at classical university. Part 4. Language training of foreign medical students in the english me... by N. Ushakova, I. Kushnir, O. Trostynska, T. Aleksieienko

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A CASE SERIES: MICRO AND NANO FAT GRAFTING FOR THE TREATMENT OF TESSIER 3 AND 4 CRANIOFACIAL CLEFTS VOLUME DEFECT by Carolus Aldo Windura, Tomie Hermawan Soekamto, Fonny Josh

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Metformin as an adjuvant option for systemic treatment of breast cancer by D.I. Avierin, V.F. Zavizion

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UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification by Zeyu Ren, Xiangyu Kong, Yudong Zhang, Shuihua Wang

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