Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

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Optimizing quantum convolutional neural network architectures for arbitrary data dimension by Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Ju-Young Ryu, Daniel K. Park, Daniel K. Park

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Comparing Scientific Machine Learning With Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations by Diego Valderrama, Olga Teplytska, Luca Marie Koltermann, Elena Trunz, Eduard Schmulenson, Achim Fritsch, Ulrich Jaehde, Holger Fröhlich

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Early Childhood Anemia in Ghana: Prevalence and Predictors Using Machine Learning Techniques by Maryam Siddiqa, Gulzar Shah, Mahnoor Shahid Butt, Asifa Kamal, Samuel T. Opoku

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Spatial morphoproteomic features predict disease states from tissue architectures by Thomas Hu, Efe Ozturk, Mayar Allam, Naga Nishkala, Vikram Kaushik, Steven L. Goudy, Qin Xu, Pamela Mudd, Kalpana Manthiram, Ahmet F. Coskun

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Identification and Patient Benefit Evaluation of Machine Learning Models for Predicting 90-Day Mortality After Endovascular Thrombectomy Based on Routinely Ready Clinical Informati... by Andrew Tik Ho Ng, Lawrence Wing Chi Chan

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Correspondence to letter to the editor 1 on “Conventional and machine learning-based risk scores for patients with early-stage hepatocellular carcinoma” by Chun-Ting Ho, Elise Chia-Hui Tan, Chien-Wei Su

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Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device by Kei Suzuki, Tipporn Laohakangvalvit, Midori Sugaya

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ESTIMATION OF HEALTHY AND LIVER DISEASED INDIVIDUALS BY A LINEAR REGRESSION CLASSIFICATION ALGORITHM by Handan Tanyıldızı Kökkülünk

Subjects: “…machine learning…”
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Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations by Charles Swenson

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Machine learning approaches for predicting frailty base on multimorbidities in US adults using NHANES data (1999–2018) by Teng Li, Xueke Li, Haoran XU, Yanyan Wang, Jingyu Ren, Shixiang Jing, Zichen Jin, Gang chen, Youyou Zhai, Zeyu Wu, Ge Zhang, Yuying Wang

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A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models by George Raftopoulos, Nikos Fazakis, Gregory Davrazos, Sotiris Kotsiantis

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Material Identification During Turning by Neural Network by Berend DENKENA, Benjamin BERGMANN, Miriam HANDRUP, Matthias WITT

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Detecting Falls and Slips of Wheelchair Users Using Low-Resolution Thermal Image Analysis by Shisei Nakamura, Masaaki Yamauchi, Miwa Sugita, Yoshihiro Aso, Yuichi Ohsita, Hideyuki Shimonishi

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Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations by Noé Lugaz, Huixin Liu, Mike Hapgood, Steven Morley

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Machine learning assisted immune profiling of COPD identifies a unique emphysema subtype independent of GOLD stage by Natalie Bordag, Katharina Jandl, Ayu Hutami Syarif, Jürgen Gindlhuber, Diana Schnoegl, Ayse Ceren Mutgan, Vasile Foris, Konrad Hoetzenecker, Panja Maria Boehm, Robab Breyer-Kohansal, Katarina Zeder, Gregor Gorkiewicz, Francesca Polverino, Slaven Crnkovic, Grazyna Kwapiszewska, Leigh Matthew Marsh

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Machine Learning Methods for Quality Prediction in Production by Sidharth Sankhye, Guiping Hu

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Patterns of childhood trauma co-occurrence and its predictivity for suicidality: A machine learning approach by Wenbang Niu, Yi Feng, Shicun Xu, Xin Cui, Zhihao Ma, Yuanyuan Wang

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Unmet Needs of Artificial Intelligence in Small Bowel Capsule Endoscopy by Stefania Piccirelli, Daniele Salvi, Cecilia Lina Pugliano, Enrico Tettoni, Antonio Facciorusso, Emanuele Rondonotti, Alessandro Mussetto, Lorenzo Fuccio, Paola Cesaro, Cristiano Spada

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Our Vision for JGR: Machine Learning and Computation by E. Camporeale, R. Marino, the Editorial Board

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