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  1. 1741

    Prediction of Monoclonal Antibody Pharmacokinetics in Pediatric Populations Using PBPK Modeling and Simulation by Chiara Zunino, Virginie Gualano, Haiying Zhou, Viera Lukacova, Maxime Le Merdy

    Published 2025-07-01
    “…<b>Results</b>: Results showed that PBPK models accurately predicted pediatric pharmacokinetics for mAbs. …”
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    Article
  2. 1742

    A machine learning-based nomogram model for predicting the recurrence of cystitis glandularis by Xuhao Liu, Yuhang Wang, Yinzhao Wang, Pinghong Dao, Tailai Zhou, Wenhao Zhu, Chuyang Huang, Yong Li, Yuzhong Yan, Minfeng Chen

    Published 2024-10-01
    “…Conclusion: We have developed a reliable machine learning-based nomogram for predicting recurrence in cystitis glandularis…”
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    Article
  3. 1743
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  5. 1745

    The thermal conductivity characteristics and prediction models of limestone sand-yellow soil mixtures by Xiong Liu, Ruiyong Mao, Zujing Zhang, Hongwei Wu, Xing Liang, Jing Chen

    Published 2025-09-01
    “…A backpropagation neural network - based predictive model for thermal conductivity, developed from experimental data, achieved 6.4 % average absolute percentage error, indicating good accuracy.…”
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    Article
  6. 1746
  7. 1747

    Developing a suicide risk prediction model for hospitalized adolescents with depression in China by Juan Zhao, Juan Zhao, Ying Li, Yangjie Chen, Ahmad Naqib Shuid

    Published 2025-05-01
    “…However, limited research has focused on suicide prediction models tailored for hospitalized Chinese adolescents with depression. …”
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    Article
  8. 1748

    A monthly runoff prediction model based on ICEEMD-L-SHADE-SRU by Ziyang Kou, Yang Yang, Zhiping Li, Xiaoshuang Fu

    Published 2025-12-01
    “…The runoff prediction model is established by combining the success-history adaptive differential evolution algorithm for linear population size reduction (L-SHADE) and simple recurrent unit (SRU). …”
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    Article
  9. 1749

    A Comparative Study of Machine Learning Models for Accurate E-Waste Prediction by Mohammed Algafri, Mohammed Sayad, Mohammad A.M. Abdel-Aal, Ahmed M. Attia

    Published 2025-06-01
    “…Future research should explore hybrid models and real-time forecasting to enhance predictive accuracy and sustainability.…”
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    Article
  10. 1750

    Evaluation of mathematical models for predicting medicine distribution into breastmilk - considering biological heterogeneity by Sumin Heo, Sumin Heo, Andrew S. Butler, Marina Stamouli Simoncioni, Sam Moult, Maria Malamatari, Essam Kerwash, Susan Cole

    Published 2024-11-01
    “…Subsequently, alternative methods for predicting lipid and protein binding within the milk, and the effect of ionisation and physicochemical properties were investigated.ResultsExisting models mis-predicted &gt;40% of medications (Phase Distribution model), exhibited extreme sensitivity to milk pH (Log-Transformed model) or exhibited limited sensitivity to changes in creamatocrit (LogPo:w model). …”
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    Article
  11. 1751

    Predicting head and neck cancer response to radiotherapy with a chemokine-based model by Jinzhi Lai, Rongfu Huang, Jingshan Huang

    Published 2025-08-01
    “…This study aimed to develop a chemokine-based model for predicting radiosensitivity in HNSCC using a retrospective analysis of 432 patients from the TCGA database. …”
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    Article
  12. 1752

    Probabilistic Prediction and Assessment of Train-Induced Vibrations Based on Mixture Density Model by Ziyu Tao, Lingshan He, Desi Tu, Chao Zou

    Published 2024-10-01
    “…This study presents a probabilistic prediction method for train-induced vibrations by combining a deep neural network (DNN) with the mixture density model in a cascade fashion, referred to as the DNN-RMDN model in this paper. …”
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  13. 1753
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  15. 1755

    Rockburst Prediction Based on the KPCA-APSO-SVM Model and Its Engineering Application by Yuefeng Li, Chao Wang, Jiankun Xu, Zonghong Zhou, Jianhui Xu, Jianwei Cheng

    Published 2021-01-01
    “…In addition, the trained prediction model was applied to five rockburst engineering cases and compared with the BP neural network model, SVM model, and APSO-SVM model. …”
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    Article
  16. 1756

    Optimizing Energy Forecasting Using ANN and RF Models for HVAC and Heating Predictions by Khaled M. Salem, Javier M. Rey-Hernández, A. O. Elgharib, Francisco J. Rey-Martínez

    Published 2025-06-01
    “…The performances of the two models are described in detail to show the effectiveness of each of them.…”
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    Article
  17. 1757

    Methods and Evaluation of AI-Based Meteorological Models for Zenith Tropospheric Delay Prediction by Si Xiong, Jiamu Mei, Xinchuang Xu, Ziyu Shen, Liangke Huang

    Published 2024-11-01
    “…Additionally, seasonal variations and station altitude were found to influence the accuracy of ZTD predictions, emphasizing the need for detailed modeling in complex climatic zones.…”
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    Article
  18. 1758

    Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

    Published 2025-01-01
    “…The worldwide health epidemic of anaemia which is a condition with low levels of red blood cells or haemoglobin requires accurate prediction models to act promptly and improve patient outcomes because it is widespread and has different causes. …”
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    Article
  19. 1759

    Insolvency and financial health prediction model for the listed companies on the Indonesia Stock Exchange by Khaira Amalia Fachrudin

    Published 2021-05-01
    “… An insolvency and financial health prediction model is an important warning to decision-makers. …”
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    Article
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