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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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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In silico prediction of HIV-1-host molecular interactions and their directionality. by Haiting Chai, Quan Gu, Joseph Hughes, David L Robertson

“…A web server for performing predictions is available at http://hivpre.cvr.gla.ac.uk/.…”
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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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Comparisons of four cognitive-frailty measures in predicting dementia and disability by Jui-Yuan Chung, Hei-Fen Hwang, Lalu Suprawesta, Mau-Roung Lin

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Individualised prediction of chemotherapy benefit in early-onset colorectal cancer by Jian Li, De Ming Tong, Peng Lv, Peng Xu, Cheng Zhang

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Machine learning frameworks to accurately predict coke reactivity index by Ayat Hussein Adhab, Morug Salih Mahdi, Krunal Vaghela, Anupam Yadav, Jayaprakash B, Mayank Kundlas, Ankur Srivastava, Jayant Jagtap, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Samim Sherzod

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Nomogram to predict rectal toxicity following prostate cancer radiotherapy. by Jean-Bernard Delobel, Khemara Gnep, Juan David Ospina, Véronique Beckendorf, Ciprian Chira, Jian Zhu, Alberto Bossi, Taha Messai, Oscar Acosta, Joël Castelli, Renaud de Crevoisier

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Analysis and prediction of subarachnoid hemorrhage burden in global, China, and Japan by Peng-Fei Ding, Chen-Jie Xing, Yong-Yue Gao, Chun-Hua Hang, Zong Zhuang, Wei Li

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Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

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