Machine learning algorithms predict breast cancer incidence risk: a data-driven retrospective study based on biochemical biomarkers by Qianqian Guo, Peng Wu, Junhao He, Ge Zhang, Wu Zhou, Qianjun Chen

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12-Month trajectories of physical and mental symptom scores after COVID-19 hospitalization and their role in predicting “very long” COVID by Oleksii Honchar, Tetiana Ashcheulova, Alla Bobeiko, Viktor Blazhko, Eduard Khodosh, Nataliia Matiash, Vladyslav Syrota

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AI may help to predict thyroid nodule malignancy based on radiomics features from [18F]FDG PET/CT by Krystian Ślusarz, Mikolaj Buchwald, Adrian Szczeszek, Szymon Kupinski, Anna Gramek-Jedwabna, Wojciech Andrzejewski, Juliusz Pukacki, Robert Pękal, Marek Ruchała, Rafał Czepczyński, Cezary Mazurek

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SACrA score to predict the initiation of renal replacement therapy in critically ill patients: a single-center retrospective study by Ginga Suzuki, Saria Nishioka, Toshimitsu Kobori, Yuka Masuyama, Saki Yamamoto, Hibiki Serizawa, Yoshimi Nakamichi, Mitsuru Honda

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DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals by Jiashuo Wu, Jiyin Lai, Xilong Zhao, Ziyi Wang, Yongbao Zhang, Liqiang Wang, Yinchun Su, Yalan He, Siyuan Li, Ying Jiang, Junwei Han

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Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea by Junhyug Noh, Sun Young Park, Wonho Bae, Kangil Kim, Jang-Hee Cho, Jong Soo Lee, Shin-Wook Kang, Yong-Lim Kim, Yon Su Kim, Chun Soo Lim, Jung Pyo Lee, Kyung Don Yoo

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GraftIQ: Hybrid multi-class neural network integrating clinical insight for multi-outcome prediction in liver transplant recipients by Divya Sharma, Neta Gotlieb, Daljeet Chahal, Joseph C. Ahn, Bastian Engel, Richard Taubert, Eunice Tan, Lau Kai Yun, Sara Naimimohasses, Ankit Ray, Yoojin Han, Sara Gehlaut, Maryam Shojaee, Surabie Sivanendran, Maryam Naghibzadeh, Amirhossein Azhie, Sareh Keshavarzi, Kai Duan, Leslie Lilly, Nazia Selzner, Cynthia Tsien, Elmar Jaeckel, Wei Xu, Mamatha Bhat

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C-reactive protein-triglyceride glucose index predicts stroke incidence in a hypertensive population: a national cohort study by Songyuan Tang, Han Wang, Kunwei Li, Yaqing Chen, Qiaoqi Zheng, Jingjing Meng, Xin Chen

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18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma by Tine Gadegaard Hindso, Torben Martinussen, Camilla Wium Bjerrum, Sune Høgild Keller, Annika Loft, Mette Bagger Sjøl, Kristoffer Nissen, Carsten Faber, Marco Donia, Inge Marie Svane, Eva Ellebaek, Steffen Heegaard, Jens Folke Kiilgaard, Karine Madsen

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Risk prediction for major postoperative complications in people with chronic spinal cord injury/disorder and stage III and IV pressure injury by Carina Fähndrich, Armin Gemperli, Michael Baumberger, Michael Harder, Dirk J. Schaefer, Reto Wettstein, Anke Scheel-Sailer

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HBXIP suppression reduces cell proliferation and migration and its overexpression predicts poor prognosis in non-small-cell lung cancer by Yixuan Wang, Nan Li, Shuanlong Che, Tiefeng Jin, Junjie Piao, Shuangping Liu, Zhenhua Lin

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Integrated renin angiotensin system dysregulation and immune profiles predict COVID-19 disease severity in a South African cohort by Talitha Müller, Sonwabile Dzanibe, Cascia Day, Phelelani Thokozani Mpangase, Tafadzwa Chimbetete, Sarah Pedretti, Sylva Schwager, Clive M. Gray, Edward Sturrock, Jonny Peter

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Ensemble learning approach for prediction of early complications after radiotherapy for head and neck cancer using CT and MRI radiomic features by Benyamin Khajetash, Seied Rabi Mahdavi, Alireza Nikoofar, Lee Johnson, Meysam Tavakoli

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Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification by Kyle Lucke, Aleksandar Vakanski, Min Xian

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Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate by Liliana Ortega-Diaz, Julian Jaramillo-Ibarra, German Osma-Pinto

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Turbulence modeling and simulation advances in CFD during the past 50 years by Schiestel, Roland, Chaouat, Bruno

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A tumor-infiltrating B lymphocytes -related index based on machine-learning predicts prognosis and immunotherapy response in lung adenocarcinoma by Jiale Fang, Siyuan Yu, Wei Wang, Wei Wang, Cheng Liu, Xiaojia Lv, Jiaqi Jin, Xiaomin Han, Xiaomin Han, Xiaomin Han, Fang Zhou, Yukun Wang

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Chromosomal instability by low-coverage whole-genome sequencing assay predicts prognosis in bladder cancer patients underwent radical cystectomy by Qi Ding, Hailiang Zhu, Bo Fan, Lisheng Wang, Xiaohua Jin, Cheng Cao, Ying Shi, Zhijiang Fan, Wenjian Tu, Feng Li

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Psychological factors and obesity, not thyroid biomarkers, predict thyroid-dependent quality of life in treated hypothyroidism: a cross-sectional study by Bence Bakos, Tibor Solymosi, Balázs Szili, Ágnes Vincze, Szilvia Mészáros, Márk Stempler, Richárd Ármós, András Kiss, Anna Bakos, Nikolette Szücs, Péter Reismann, Judit Tőke, Péter Pusztai, Péter Lakatos, István Takács

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A seven-LncRNA signature for prognosis prediction of patients with lung squamous cell carcinoma through tumor immune escape by Qiangqiang Ge, Zhong Lin, Xuequan Wang, Zhengli Jiang, Yan Hu

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