Advancement in predictive biomarkers for gestational diabetes mellitus diagnosis and related outcomes: a scoping review by Fabricio Da Silva Costa, Hasini Rathnayake, Luhao Han, Cristiane Paganoti, Brett Dyer, Avinash Kundur, Indu Singh, Olivia J Holland

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Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

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The Prevalence and Predictive Factors of Genitourinary Syndrome of Menopause in Postmenopausal Women: A Cross-sectional Study by Azamsadat Mahmoudian, Zohre Zamani, Fatemeh Mohammadzadeh, Narjes Bahri

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The role of novel risk-scoring systems in predicting the efficacy of immunotherapy by Yu.V. Moskalenko

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Evaluating the predictive effect of vitamin D on clinical outcomes of infliximab-treated Crohn’s disease patients by Jiao Zheng, Hongping Gao, Yu Zhang, Mingxuan Sun, Hang Sun, Ying Pei

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Haematological markers as predictive tools for tuberculosis in PLHIV: a retrospective cohort study in Gujarat, India by Yogesh M, Roshni Vamja, Parth Anilbhai Parmar, Naresh Makwana, R Naveen Shyam Sundar

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Evaluasi Terhadap Program Planet Sains pada Siaran TV Edukasi untuk Sekolah Menengah Pertama by Suhartini Suhartini

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Impact of stain variation and color normalization for prognostic predictions in pathology by Siyu Lin, Haowen Zhou, Mark Watson, Ramaswamy Govindan, Richard J. Cote, Changhuei Yang

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Prediction of cardiac conduction disorders using the methods of mathematical analysis by S. Yu. Nikulina, A. A. Chernova, S. S. Tretyakova, D. A. Nikulin

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Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

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Machine Learning System for Predicting Cardiovascular Disorders in Diabetic Patients by A. Mayya, H. Solieman

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The Satellite Risk Prediction and Radiation Forecast System (SaRIF) by Richard B. Horne, Sarah A. Glauert, Peter Kirsch, Daniel Heynderickx, Suzy Bingham, Peter Thorn, Babara‐Ann Curran, David Pitchford, Ewan Haggarty, David Wade, Ralf Keil

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Inositol polyphosphates regulate and predict yeast pseudohyphal growth phenotypes. by Kaitlyn L Norman, Christian A Shively, Amberlene J De La Rocha, Nebibe Mutlu, Sukanya Basu, Paul J Cullen, Anuj Kumar

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Charlson comorbidity index in predicting deaths in COVID-19 patients by A. V. Svarovskaya, А. O. Shabelsky, Artem V. Levshin

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Advancing Teaching Mathematics in Students at Universities of Economics for Sustainable Development by N. A. Burmistrova

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Predicting and preventing sudden cardiac death in myocardial infarction patients by S. A. Boldueva, A. V. Shabrov, D. S. Lebedev, T. Ya. Burak, I. A. Leonova, M. V. Samokhvalova, V. S. Zhuk, E. G. Bykova

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Analysis and prediction of atmospheric ozone concentrations using machine learning by Stephan Räss, Stephan Räss, Markus C. Leuenberger, Markus C. Leuenberger

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Application of Deep Learning Framework for Early Prediction of Diabetic Retinopathy by Fahad Mostafa, Hafiz Khan, Fardous Farhana, Md Ariful Haque Miah

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Application of Artificial Intelligence Algorithms in the Field of Antimicrobial Peptide Prediction by QIAN Yuchen, NIE Ting, HUA Yanming, XU Shiying, GUO Sheng, ZHANG Xin, LUO Xiaohu, LIU Yanan

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Prediction of perioperative cardiac complications in patients with proximal femoral fracture by B. S. Ezugbaia, I. Yu. Sholin, V. A. Avetisian, V. A. Koriachkin, M. A. Dzhopua, M. P. Pleten, D. A. Baturin, D. I. Marapov

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