Harnessing pre-trained models for accurate prediction of protein-ligand binding affinity by Jiashan Li, Xinqi Gong

“…Results Our model demonstrates a significantly higher correlation coefficient in binding affinity predictions. …”
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ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data by Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo

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Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models by Niharika Dutta, Pankaj Gupta

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iPRISM: Intelligent Predicting Response to Cancer Immunotherapy through Systematic Modeling by Yinchun Su, Siyuan Li, Qian Wang, Bingyue Pan, Jiyin Lai, Guangyou Wang, Junwei Han, Qingfei Kong

“…Immunotherapy has revolutionized cancer treatment, but predicting patient response remains challenging. Herein, we present iPRISM (Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling), which is a novel network‐based model that integrates multiomics data to predict immunotherapy outcomes. …”
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Failure prediction of T-peel adhesive joints by different cohesive laws and modelling approaches by Alessandro Pirondi

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Study on factor-state artificial neural network model for water quality prediction by GUO Zong-lou, SHEN Wei

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OncoImmune machine-learning model predicts immune response and prognosis in leiomyosarcoma by Jingrong Deng, Changfa Shu, Dong Wang, Richard Nimbona, Xingping Zhao, Dabao Xu

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

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Novel hybrid model to improve the monthly streamflow prediction: Integrating ANN and PSO by Baydaa Abdul Kareem, Salah L. Zubaidi

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Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer by Hvattum L. M.

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

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Effectiveness of models of degradation of functional parameters for predicting the parametric reliability of semiconductor devices by S. M. Borovikov, N. I. Tsyrelchuk, S. S. Dick, E. N. Shneiderov

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Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market by Sallar Ashqi Kareem

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Sound quality control method of 110 kV transformer based on distributed variable stiffness dynamic vibration absorber by Cai Zeng, Xing Du, Songbo Guo, Jian Han, Xiaoqiong He, Xinbiao Xiao

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An Innovative Dynamic Model for Predicting Typhoon Track Deflections over Complex Terrain by Hung-Cheng Chen

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Bitcoin Trend Prediction with Attention-Based Deep Learning Models and Technical Indicators by Ming-Che Lee

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Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be? by Muhamad Fiqri Aripin

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Analysis of the dynamics of changes in factor load models for predicting failures of a spacecraft by Kraev Konstantin, Zaitsev Pavel, Kazakovtsev Vladimir

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Fast and effective assessment for individuals with special needs form optimization and prediction models by Bilal Baris Alkan, Muhammet Kumartas, Serafettin Kuzucuk, Nesrin Alkan

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Nonequilibrium Molecular Velocity Distribution Functions Predicted by Macroscopic Gas Dynamic Models by Maksim Timokhin, Yevgeniy Bondar

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