Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis by Fahim Faisal, Antonios Danelakis, Marte-Helene Bjørk, Bendik Winsvold, Manjit Matharu, Parashkev Nachev, Knut Hagen, International Headache Genetics Consortium, Erling Tronvik, Anker Stubberud

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Integration of Left Atrial Function Assessment, Genetic Risk, and Clinical Risk Factors Improves Prediction of Incident Atrial Fibrillation by Hanjin Park, Daehoon Kim, Eunsun Jang, Hee T. Yu, Tae‐Hoon Kim, Jae‐Sun Uhm, Jung‐Hoon Sung, Hui‐Nam Pak, Moon‐Hyoung Lee, Pil‐Sung Yang, Boyoung Joung

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Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025 by Kelemua Aschale Yeneakal, Gizaw Hailiye Teferi, Temesgen T. Mihret, Abraham Keffale Mengistu, Sefefe Birhanu Tizie, Maru Meseret Tadele

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Sensitivity of predicted ultrafine particle size distributions in Europe to different nucleation rate parameterizations using PMCAMx-UF v2.2 by D. Patoulias, K. Florou, S. N. Pandis, S. N. Pandis

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Conversion Prediction in Google Search Ads Keyword Selection Using the K-Nearest Neighbor and C4.5 Algorithms by Muhammad Sya'ban Harahap, Alva Hendi Muhammad

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Enhanced diagnostic capabilities of thromboelastography coupled with standard coagulation indices for predicting perioperative thrombosis in older individuals with hip fractures by Huan Yang, Yusong Yuan, Lei Shi, Yurun Yang, Yidan Zhu, Ying Chen

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Development of the GDF-TRACK-AKI Score for Predicting Acute Kidney Injury in Patients with Rhabdomyolysis Due to Excessive Exercise or Trauma by Oğuzhan Zengin, Burak Göre, Melike Yakut, Mustafa Yaylalı, Muhammet Göv, Safa Dönmez, Gülhan Kurtoğlu Çelik, Gül Pamukçu Günaydın, Esma Andaç Uzdoğan, Emra Asfuroğlu Kalkan, İhsan Ateş

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MFHG-DDI: An Enhanced Hybrid Graph Method Leveraging Multiple Features for Predicting Drug–Drug Interactions by Xiang Li, Xiangmin Ji, Chengzhen Xu, Jie Hou, Xiaoyu Zhao, Guodong Peng

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A non-invasive nomogram for predicting heart failure with preserved ejection fraction in taiwanese outpatients with unexplained dyspnea and fatigue by Yi-Wei Chung, Jen-Fang Cheng, Yen-Liang Lin, Hung-Jui Chuang, Chia-Chuan Chuang, Cheng-Wei Chen, Wei-Ming Huang, Cho-Kai Wu, Lian-Yu Lin

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Beat the Offers—A Machine-Learning Approach for Predicting Contestants’ Choices and Games’ Outcomes on a TV Quiz Show by Hana Ivandic, Branimir Pervan, Josip Knezovic, Alan Jovic

“…We then apply various machine-learning models with the goals of predicting (1) which offer a contestant is most likely to select and (2) the game’s outcome. …”
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High FGF18 expression levels predict poor prognosis in endometrial carcinoma patients and promote tumor growth and metastasis by Zheng-Yao Lei, Jian Wu, Bao-Hua Zhang, Wei Xiang, Min Wang, Bin-bin Li, Ming-Cheng Dai

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Prediction of Sorghum bicolor (L.) distribution ranges provides insights on potential sorghum cultivation across tropical ecoregions of Indonesia by Suyud Warno Utomo, Fatma Lestari, Andrio Adiwibowo, Micah R. Fisher

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Heart rate variability analysis for the prediction of pre-arousal during propofol-remifentanil general anaesthesia: A feasibility study. by Anne Wojtanowski, Maxence Hureau, Camille Ternynck, Benoit Tavernier, Mathieu Jeanne, Julien de Jonckheere

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Integration of genomics, clinical characteristics and baseline biological profiles to predict the risk of liver injury induced by high-dose methotrexate by Chenquan Lin, Chenquan Lin, Chenquan Lin, Rui Ma, Rui Ma, Rui Ma, Xiao Zeng, Xiao Zeng, Xiao Zeng, Bikui Zhang, Bikui Zhang, Bikui Zhang, Ting Cao, Ting Cao, Ting Cao, Shimeng Jiao, Shimeng Jiao, Shimeng Jiao, Hui Chen, Hui Chen, Hui Chen, Yifang He, Yifang He, Yifang He, Mouze Liu, Mouze Liu, Mouze Liu, Hualin Cai, Hualin Cai, Hualin Cai

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Advancing Early Diagnosis: Predicting Mild Cognitive Impairment Progression in Normal Individuals Using Deep Learning on MRI Features by Abdullah Baktash, Yashar Sarbaz, Saeed Meshgini, Reza Afrouzian

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Development and validation of a novel clinical risk score to predict hypoxaemia in children with pneumonia using the WHO PREPARE dataset by Shamim Qazi, Arjun Chandna, Norman Lufesi, Philippe Vanhems, Tim Colbourn, Charles Mwansambo, Eric D McCollum, Mathuram Santosham, Shally Awasthi, Archana Patel, Joseph L Mathew, Tor A Strand, Carina King, Rakesh Lodha, Shubhada Hooli, Mark I Neuman, Vanessa Rouzier, Ashish Bavdekar, Nitya Wadhwa, Donald M Thea, Rainer Tan, Emmanuel Addo-Yobo, Chris A Rees, Shinjini Bhatnagar, Shabir A Madhi, Kerry-Ann F O’Grady, Sudha Basnet, Patricia Hibberd, Valentina S Picot, Pagbajabyn Nymadawa, Marilla Lucero, Glaucia Paranhos-Baccalà, Juan M Lozano, Yasir Bin Nisar, Prakash M Jeena, Marta Nunes, Noel Chisaka, Ngoc Tuong Vy Nguyen, Monidarin Chou, Mala Rakoto-Andrianarivelo, Graciela Russomando, Mariam Sylla, Jianwei Wang, Satinder Aneja, Alexey W Clara, Fenella Beynon, Romina Libster, Jean William Pape, Clare L Cutland, Brad Gessner, William B MaLeod, Syed Mohammad Akram uz Zaman, Gillian Levine

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Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance by S. Sivaraman, N. Radhika, Muhammad Abubaker Khan

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AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction by Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang

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Brain age prediction from MRI images based on a convolutional neural network with MRMR feature selection layer by Mustafa Hatem Al Ghariri, Seyed Omid Shahdi

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Prediction of Target-Induced Multipath Interference Acoustic Fields in Shallow-Sea Ideal Waveguides and Statistical Characteristics of Waveguide Invariants by Yuanhang Zhang, Peizhen Zhang, Jincan Li

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