Setting the standard for machine learning in phase field prediction: a benchmark dataset and baseline metrics by Laura Hannemose Rieger, Klemen Zelič, Igor Mele, Tomaž Katrašnik, Arghya Bhowmik

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scPRINT: pre-training on 50 million cells allows robust gene network predictions by Jérémie Kalfon, Jules Samaran, Gabriel Peyré, Laura Cantini

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Prediction of Large-Scale Renewable Energy Access under Steady State of Electric Power System by Mingrun TANG, Ruoyang LI, Muran LIU, Xiaoyu CHENG, Yao LIU, Shuxia YANG

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Enhancing Multi-Disease Prediction with Machine Learning: A Comparative Analysis and Hyperparameter Optimization Approach by Mariam Kili Bechir, Ferhat Atasoy

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IoT-Enabled Adaptive Watering System With ARIMA-Based Soil Moisture Prediction for Smart Agriculture by Muhammad Afzal, Iftikhar Ahmed Saeed, Muhammad Noman Sohail, Mohamad Hanif Md Saad, Mahidur R. Sarker

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Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches by Divesh Ranjan Kumar, Warit Wipulanusat

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Novel nomograms for predicting overall survival and cancer-specific survival in invasive lobular carcinoma of the breast by Xia Qiu, Baoxing Tian, Yifan Gu, Kai Yin, Ji Zhao, Jie Wang

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Predictive biomarkers in the gut microbiome and metabolome for severe acute radiation enteritis in cervical cancer radiotherapy by Chen-ying Ma, Jing Zhao, Xiao-ting Xu, Xiao-lan He, Song-bing Qin, Ju-ying Zhou

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Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability by Sathvik Sharath Chandra, Rakesh Kumar, Archudha Arjunasamy, Sakshi Galagali, Adithya Tantri, Sujay Raghavendra Naganna

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Unveiling Recurrence Patterns: Analyzing Predictive Risk Factors for Breast Cancer Recurrence after Surgery by Monireh Shahmoradi, Ahmad Fazilat, Mostafa Ghaderi-Zefrehei, Arash Ardalan, Ali Bigdeli, Nahid Nafissi, Ebrahim Babaei, Mahsa Rahmani

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Artificial intelligence-based prediction of treatment failure and medication non-adherence in overactive bladder management by Mert Başaranoğlu, İsa Kamil Taşdemir, Erdem Akbay, Hasan Erdal Doruk

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PREDICTION OF LIVE WEIGHT THROUGH MORPHOMETRIC VARIABLES IN GOATS FROM BAJA CALIFORNIA SUR, MEXICO by Raul Avalos Castro, Jose Denis Osuna Amador, Noe Medina Cordova, Carlos Cabada Tavares, Jose C. Segura Correa

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Rapid and Accurate Prediction of the Melting Point for Imidazolium-Based Ionic Liquids by Artificial Neural Network by Xinyu Liu, Jie Yin, Xinmiao Zhang, Wenxiang Qiu, Wei Jiang, Ming Zhang, Linhua Zhu, Hongping Li, Huaming Li

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Prediction of Vanadium Contamination Distribution Pattern Through Remote Sensing Image Fusion and Machine Learning by Zipeng Zhao, Yuman Sun, Weiwei Jia, Jinyan Yang, Fan Wang

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Fracture Characteristics and Tensile Strength Prediction of Rock–Concrete Composite Discs Under Radial Compression by Tengfei Guo, Houqiang Wang, Xuefeng Si, Chengzhi Pu, Zhixiang Liu, Qi Zhang, Weijun Liu

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Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction by Lingyao Wang, Chenyue Pan, Haitao Zhao, Mingyi Ji, Xinren Wang, Junchen Yuan, Miao Liu, Donglai Jiao

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Ensemble machine learning algorithm for anti-VEGF treatment efficacy prediction in diabetic macular edema by Yu Fang, Jianwei Lin, Peiwen Xie, Huishan Zhu, Tsz Kin Ng, Guihua Zhang

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Regularized win ratio regression for variable selection and risk prediction, with an application to a cardiovascular trial by Lu Mao

“…When applied to data from the HF-ACTION trial, the method identified prognostic variables and achieved superior predictive accuracy compared to regularized Cox models, as measured by overall and component-specific concordance indices. …”
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Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification by Héctor Climente-González, Min Oh, Urszula Chajewska, Roya Hosseini, Sudipto Mukherjee, Wei Gan, Matthew Traylor, Sile Hu, Ghazaleh Fatemifar, Jonas Ghouse, Paul Pangilinan Del Villar, Erik Vernet, Nils Koelling, Liang Du, Robin Abraham, Chuan Li, Joanna M. M. Howson

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Effects of different wearable sensors and locomotion tasks on machine learning-based joint moment prediction by Jonas Weber, Bernd J. Stetter

“…Other factors, such as task diversity, sample size, ML algorithms, and model evaluation, may have a greater impact on joint moment predictions than different wearable sensor-based model inputs. …”
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