Mopidip: a modular real-time pipeline for machinery diagnosis and prognosis based on deep learning algorithms by Mattia Pujatti, Davide Calzà, Andrea Gobbi, Piergiorgio Svaizer, Marco Cristoforetti

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Graph neural networks-based prediction of drug gene association of P2X receptors in periodontal pain by Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Seyed Ali Mosaddad, Artak Heboyan

“…Despite achieving a 65 percent accuracy rate, the GNN model demonstrated suboptimal predictive power for gene-drug interactions associated with oral pain. …”
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Predicting Pre- and Post-Diagnostic Depression in Women with Abnormal Pap Screening Tests: A Neural Network Approach by Irena Ilic, Goran Babic, Sandra Sipetic Grujicic, Ivana Zivanovic Macuzic, Milena Ilic, Ana Ravic-Nikolic, Vesna Milicic

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Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study) by Prahara Yuri, Grace Wangge, Fatan Abshari, Adistra I.T.W.H Satjakoesoemah, Perdana R Perdana, Candra D.K Wijaya

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To Predict the Prognosis and Immunological Characteristics of Pancreatic Cancer Based on Disulfide-Death Gene Death-Related lncRNA by Zhihong Liao, Tianxing Dai, Feng Yuan, Kai Li, Guoying Wang

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Prediction of coating degradation based on “Environmental Factors–Physical Property–Corrosion Failure” two-stage machine learning by Weiting Chen, Lingwei Ma, Yiran Li, Dequan Wu, Kun Zhou, Jinke Wang, Zhibin Chen, Xin Guo, Zongbao Li, Thee Chowwanonthapunya, Xiaogang Li, Dawei Zhang

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Indonesian Prostate Cancer Risk Calculator (IPCRC): An application for Predicting Prostate Cancer Risk (a Multicenter Study) by Prahara Yuri, Grace Wangge, Fatan Abshari, Adistra I.T.W.H Satjakoesoemah, Perdana R Perdana, Candra D.K Wijaya

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Network Resource Allocation Method Based on Awareness–Prediction Joint Compensation for Low-Earth-Orbit Satellite Networks by Hang Di, Tao Dong, Zhihui Liu, Shuotong Wei, Qiwei Zhang, Dingyun Zhang

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NanoBinder: a machine learning assisted nanobody binding prediction tool using Rosetta energy scores by Palistha Shrestha, Chandana S. Talwar, Jeevan Kandel, Kwang-Hyun Park, Kil To Chong, Eui-Jeon Woo, Hilal Tayara

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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

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Interpretable machine learning for stability and electronic structure prediction of Janus III–VI van der Waals heterostructures by Yudong Shi, Yinggan Zhang, Jiansen Wen, Zhou Cui, Jianhui Chen, Xiaochun Huang, Cuilian Wen, Baisheng Sa, Zhimei Sun

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Deep Learning-Based Keras Network Formulation for Predicting the Shear Capacity of Squat RC Walls and Sensitivity Analysis by Badie H. Sulaiman, Amer M. Ibrahim, Hadeel J. Imran

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Prediction of menstrual recovery patterns in premenopausal women with breast cancer taking tamoxifen after chemotherapy: an ASTRRA Substudy by Young Joo Lee, Woo Chul Noh, Sungchan Gwark, Hyun-Ah Kim, Jai Min Ryu, Seung Il Kim, Eun-Gyeong Lee, Seock-Ah Im, Yongsik Jung, Min Ho Park, Kyong Hwa Park, Su Hwan Kang, Joon Jeong, Eunhwa Park, Sung Yong Kim, Min Hyuk Lee, Lee Su Kim, Woosung Lim, Seonok Kim, Hee Jeong Kim

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Machine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis by Haofuzi Zhang, Peng Zou, Peng Luo, Xiaofan Jiang

“…Therefore, efficient, noninvasive, or minimally invasive low-cost predictors should be further explored in future studies to improve the prediction accuracy of ML models. Trial RegistrationPROSPERO (CRD42023438399); https://tinyurl.com/yfuuudde…”
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Lipoproteins predicting coronary lesion complexity in premature coronary artery disease: a supervised machine learning approach by Marta Marcinkowska, Agnieszka Kuchta, Petra Małgorzata Grešner, Tomasz Figatowski, Piotr Kasprzyk, Radosław Targoński, Wojciech Sobiczewski, Miłosz Jaguszewski, Marcin Fijałkowski, Marcin Gruchała, Agnieszka Mickiewicz

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A Hybrid VMD-BO-GRU Method for Landslide Displacement Prediction in the High-Mountain Canyon Area of China by Bao Liu, Jiahuan Xu, Jiangbo Xi, Chaoying Zhao, Xiaosong Feng, Chaofeng Ren, Haixing Shang

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CT-based radiomics analysis for predicting EGFR and ALK mutational status in non‑small cell lung cancer by Ruimin He, Tengxiang Li, Li Sun, Peng Lu, Dan Sun, Rongrong Zhou, Dangchi Li, Xiaohua Yang, Zijian Zhang

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Development of a novel nomogram to predict hemorrhagic transformation following endovascular treatment in patients with acute ischemic stroke by Xiaofen Zhao, Yuanjie Le, Ting Xin, Guosheng Gao, Mengya Zhu, Kai Xun, Xinliang Mao

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Machine learning for predicting the outcomes and risks of cardiovascular diseases in patients with hypertension: results of ESSE-RF in the Primorsky Krai by V. A. Nevzorova, N. G. Plekhova, L. G. Priseko, I. N. Chernenko, D. Yu. Bogdanov, M. V. Mokshina, N. V. Kulakova

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VAE-Assisted Data Augmentation for Improved Molecular Prediction with Graph Neural Networks (GNNs) in Low-Data Regimes by Gabriela C. Theis Marchan, Pegah Naghshnejad, Andrew Okafor, Jose A. Romagnoli

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