A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin by Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov

“…Thus, our model can capture and predict the spatiotemporal dynamics of MCF7 cells treated with doxorubicin in an in-vitro setting.…”
Get full text

Predicting sensory evaluation of spinach freshness using machine learning model and digital images. by Kento Koyama, Marin Tanaka, Byeong-Hyo Cho, Yusaku Yoshikawa, Shige Koseki

Get full text

An Analytical Model for Predicting the Stress Distributions within Single-Lap Adhesively Bonded Beams by Xiaocong He, Yuqi Wang

“…An analytical model for predicting the stress distributions within single-lap adhesively bonded beams under tension is presented in this paper. …”
Get full text

Comparison of machine learning model performance for predicting the climate variables in Johor Bahru, Malaysia by Farid Zamani Che Rose, Nur Aqilah Khadijah Rosili, Muhammad Fadhil Marsani

“…Results showed that RF outperforms the other ML models in prediction performance by exhibiting the lowest error for both training and testing data. …”
Get full text

Predicting the Aquatic Toxicity of Pharmaceutical and Personal Care Products: A Multitasking Modeling Approach by Amit Kumar Halder, Tanushree Pradhan, M. Natália D. S. Cordeiro

“…This study aims to develop and validate robust in silico models for predicting the aquatic toxicity of PPCPs. …”
Get full text

RETRACTION: Predicting Course Grade through Comprehensive Modelling of Students’ Learning Behavioral Pattern by null Complexity

Get full text

Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs by Reza Fardid, Fatemeh Farah, Hossein Parsaei, Hadi Rezaei, Mohammad Vahid Jorat

“…Therefore, it is essential to develop a model for predicting cardiologists’ radiation exposure. …”
Get full text

An ultrasound model for predicting recurrence of papillary thyroid carcinoma after complete endoscopic resection by Bin Lu, Yibo Zhou, Xiaofeng Lu, Wenchao Weng, Shengye Wang, Jianlin Lou

Get full text

COMPARATIVE PERFORMANCE OF SARIMAX AND LSTM MODEL IN PREDICTING IMPORT QUANTITIES OF MILK, BUTTER, AND EGGS by Ghardapaty Ghaly Ghiffary, Eka Dicky Darmawan Yanuari, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

“…This study evaluates how well SARIMAX and LSTM models predict monthly imports of HS-04 commodities (butter, eggs, and milk) in Indonesia. …”
Get full text

Predicting young Chinese consumers' intentions to purchase Western brands: Structural model analysis. by Fei Long, Miraj Ahmed Bhuiyan, Norzalita Abd Aziz, Muhammad Khalilur Rahman

Get full text

Machine learning model to predicting synergy of ultrasonication and solvation impacts on crude oil viscosity by Nasir Khan, Mehdi Razavifar, Qazi Adnan Ahmad, Muhammad Siyar, Masoud Riazi, Waqar Khan, Jafar Qajar

“…In the second part of the study, a Machine Learning (ML) model was developed using the experimental data. …”
Get full text

Multiscale Feature Modeling and Interpretability Analysis of the SHAP Method for Predicting the Lifespan of Landslide Dams by Zhengze Huang, Yuqi Bai, Hengyu Liu, Yun Lin

“…This study proposes a hybrid CNN–Transformer model optimized using the Improved Black-Winged Kite Algorithm (IBKA) aimed at improving the accuracy of landslide dam lifespan prediction by combining local feature extraction with global dependency modeling. …”
Get full text

An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer by Boya Liu MM, Xiangrong Gu MM, Danling Xie MM, Bing Zhao BM, Dong Han MD, Yuli Zhang BM, Tao Li PhD, Jingqin Fang MD, PhD

“…This study aimed to develop and evaluate machine learning models using ultrasound-derived radiomics and clinical features to predict TIL levels in BC. …”
Get full text

Development and indirect validation of a model predicting frailty in the French healthcare claims database by Hana Lahbib, Laurence Mandereau-Bruno, Sarah Goria, Vérène Wagner, Marion J Torres, Catherine Féart, Catherine Helmer, Karine Pérès, Laure Carcaillon-Bentata

Subjects: Get full text

Predicting potential recovery of the endangered bromeliad Tillandsia utriculata: An agent-based modeling approach. by Alexandra M Campbell, Anna C Kula, Rachel S Jabaily, Brad Oberle, Brian Sidoti, Alex Capaldi, Erin N Bodine

Get full text

Predicting survival in bladder cancer with a novel apoptotic gene-related prognostic model by Ding-ming Song, Kun Feng, Wen-fei Luo, Dong-shan Lv, Li-po Zhou, Yi-bo He, Yanyang Jin

“…The model can predict patient response to immunotherapy treatment as established through the model’s score which was linked to different types of immune cell infiltration and identified significant differences in the signal pathways between high-risk and low-risk groups. …”
Get full text

Application of a Nomogram Model in Predicting Postoperative Delirium Following Percutaneous Coronary Intervention by Yaxin Xiong, Ze Meng, Jiuyue Sun, Yucheng Qi, Kuo Wang, Ping Huang, Qiuyue Yang, Renliang Fan, Jiaman Guan, Mingyan Zhao, Xianglin Meng

“…The clinical value of the prediction model was tested using decision curve analysis (DCA). …”
Get full text

Quantitative imaging outperforms No-reflow in predicting functional outcomes in a translational stroke model by Justine Debatisse, Lucie Chalet, Omer Faruk Eker, Tae-Hee Cho, Guillaume Becker, Océane Wateau, Marlène Wiart, Nicolas Costes, Inés Mérida, Christelle Léon, Jean-Baptiste Langlois, Sophie Lancelot, François Lux, Timothé Boutelier, Norbert Nighoghossian, Laura Mechtouff, Emmanuelle Canet-Soulas

“…We used quantitative PET-MRI imaging to characterize early microvascular damages in a preclinical non-human primate model mimicking endovascular mechanical thrombectomy (EVT). …”
Get full text

Machine learning model for predicting corneal stiffness and identifying keratoconus based on ocular structures by Longhui Li, Yifan Xiang, Xi Chen, Duoru Lin, Lanqin Zhao, Jun Xiao, Zhenzhe Lin, Jianyu Pang, Xiaotong Han, Lixue Liu, Yuxuan Wu, Zhenzhen Liu, Jingjing Chen, Jing Zhuang, Keming Yu, Haotian Lin

“…Conclusion: Our models predicted SP-A1 and cCBI relatively accurately in keratoconus and normal corneas. …”
Get full text

Predicting Freeway Work Zone Delays and Costs with a Hybrid Machine-Learning Model by Bo Du, Steven Chien, Joyoung Lee, Lazar Spasovic

“…A hybrid machine-learning model, integrating an artificial neural network (ANN) and a support vector machine (SVM) model, is developed to predict spatiotemporal delays, subject to road geometry, number of lane closures, and work zone duration in different periods of a day and in the days of a week. …”
Get full text