Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Va... by Hongxin Gao, Stefan Schneider, Raymond Hernandez, Jenny Harris, Danny Maupin, Doerte U Junghaenel, Arie Kapteyn, Arthur Stone, Elizabeth Zelinski, Erik Meijer, Pey-Jiuan Lee, Bart Orriens, Haomiao Jin

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Propuesta de modelo predictivo de riesgo de lesión en base a descriptores anatómicos y funcionales que se relacionan con la inestabilidad articular en rodilla y tobillo en jugadore... by Claudio Mauricio San Martín Barra, Germán Rojas Cabezas, Jennifer Troc Gajardo

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Application of three Transformer neural networks for short-term photovoltaic power prediction: A case study by Jiahao Wu, Yongkai Zhao, Ruihan Zhang, Xin Li, Yuxin Wu

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Isolated small airways obstruction predicts future chronic airflow obstruction: a multinational longitudinal study by Andre F S Amaral, Thorarinn Gislason, Frits Franssen, Cosetta Minelli, James Potts, Christer Janson, Rune Nielsen, Andrei Malinovschi, Padukudru Anand Mahesh, Jaymini Patel, Meriam Denguezli, Parvaiz Koul, Asaad Ahmed Nafees, Peter GJ Burney, Rana Ahmed, Sonia Buist, Ben Knox-Brown, Dhiraj Agarwal, Valentina Quintero Santofimio, Najlaa Mohammed Abass, Jayaraj BS, Sanjay K Juvekar, Stefanni Nonna M Paraguas

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Value of synthetic MRI in predicting treatment response to neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer by WANG Kangning, ZHU Lan, FENG Weiming, XIA Yihan, SHI Bowen, ZHANG Huan

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Modification of the Cardiac Renal Angina Index for Predicting Adverse Kidney Events After Pediatric Cardiac Surgery by Katherine F. Melink, Natalja L. Stanski, Emily Gorrell, Jeffrey A. Alten, Kevin A. Pettit, Stuart L. Goldstein, Huaiyu Zang, Nicholas J. Ollberding, Rajit K. Basu, Shina Menon, Megan SooHoo, Katja M. Gist

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Predicting adverse drug reactions in oncology: A critical review of machine learning approaches and future directions by Abid Yahya, Phatsimo Lobelo, Afiya Eram, Sana Althaf Hussain, Irfan Anjum Badruddin, Lory Liza D. Bulay-og, Dionel O. Albina

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Prediction of Surface Roughness When End Milling Ti6Al4V Alloy Using Adaptive Neurofuzzy Inference System by Salah Al-Zubaidi, Jaharah A. Ghani, Che Hassan Che Haron

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Hierarchical progressive learning for zero-shot peptide-HLA binding prediction and automated antigenic peptide design by Xinyuan Zhu, Jiadong Lu, Xinting Hu, Tengchuan Jin, Shan Lu, Fuli Feng

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Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data by Fuyong Wang, Xianmu Hou

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Finite-element based-prediction of the cracking-torsional behavior of prestressed concrete beams with hollow cross-sections by Bara'a R. Alnemrawi, Rajai Z. Al-Rousan

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A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

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“intelligent Read Across (iRA)”- A tool for read-across-based toxicity prediction of nanoparticles by Souvik Pore, Kunal Roy

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Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma by Anahita Fathi Kazerooni, Adam Kraya, Komal S. Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana M. Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R. Lueder, Saksham Phul, Mateusz Koptyra, Phillip B. Storm, Jeffrey B. Ware, Yuanquan Song, Christos Davatzikos, Jessica B. Foster, Sabine Mueller, Michael J. Fisher, Adam C. Resnick, Ali Nabavizadeh

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A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

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Weight and Blood‐Based Markers of Cachexia Predict Disability, Hospitalization and Worse Survival in Cancer Immunotherapy Patients by Steven D. Tran, Noah J. Forrest, Vijeeth Guggilla, Geovanni M. Perottino, Jodi L. Johnson, Jeffrey Sosman, Ishan Roy, Theresa L. Walunas

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Predictive Potential of Twenty-Two Biochemical Biomarkers for Coronary Artery Disease in Type 2 Diabetes Mellitus by Edimar Cristiano Pereira, Marcelo Chiara Bertolami, André Arpad Faludi, Osmar Monte, Hermes Toros Xavier, Tiago Veiga Pereira, Dulcineia Saes Parra Abdalla

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Analysis of mutations in precision oncology using the automated, accurate, and user-friendly web tool PredictONCO by Rayyan Tariq Khan, Petra Pokorna, Jan Stourac, Simeon Borko, Adam Dobias, Joan Planas-Iglesias, Stanislav Mazurenko, Ihor Arefiev, Gaspar Pinto, Veronika Szotkowska, Jaroslav Sterba, Jiri Damborsky, Ondrej Slaby, David Bednar

“…The tool models the structure of the mutant protein in the first step. …”
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Predictability of time-resolved cross-envelope pressures driving natural infiltration in low-rise residential buildings by Dominic Bledsoe, Will Clagett, Misael Soto, Ellison M. Carter, Paul W. Francisco, Tami C. Bond

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Predicting postharvest weight loss and texture changes in table grapes using fruit color and machine learning by Xiaoyan Cheng, Yao Zhou, Zhengyang Huo, Ruiying Li, Shiqian Xu, Hao Qi, Jianyuan Zhu, Fei Wang, Yang Bi

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