The value of FDG-PET/CT metabolic parameters and treatment metabolic response in predicting long-term survival of patients with diffuse large B-cell lymphoma by Abbas Yousefikoma, Mohamad Mehdi Karimy Taha

“…Conclusion: FDG-PET/CT complete metabolic response can predict longer PFS in patients with DLBCL, but its related metabolic parameters may not predict disease outcome.…”
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Artificial intelligence-derived gut microbiome as a predictive biomarker for therapeutic response to immunotherapy in lung cancer: protocol for a multicentre, prospective, observational study by Ryo Toyozawa, Fumihiro Shoji, Takanori Yamashita, Fumihiko Kinoshita, Shinkichi Takamori, Takatoshi Fujishita, Kensaku Ito, Koji Yamazaki, Naoki Nakashima, Tatsuro Okamoto

“…Nevertheless, the specific composition of the gut microbiome or combination of gut microbes that truly predict the efficacy of immunotherapy is not definitive.Methods and analysis The present multicentre, prospective, observational study aims to discover the specific composition of the gut microbiome or combination of gut microbes predicting the therapeutic response to immunotherapy in lung cancer using artificial intelligence. …”
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Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging by Eun Young Choi, Joon Yul Choi, Tae Keun Yoo

“…ChatGPT-4 was used to build prediction formulas for DR and DME and developed a web-based risk calculator tool. …”
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Long-term trends in the incidence of male breast cancer and nomogram for predicting survival in male breast cancer patients: a population-based epidemiologic study by Aimin Huang, Daning Li, Zhe Fan, Jingfang Chen, Weidong Zhang, Wentao Wu

“…The competing risk model demonstrated excellent predictive ability, surpassing the AJCC staging system in both accuracy and clinical utility. …”
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Hybrid parking space prediction model: integrating ARIMA, Long short-term memory (LSTM), and backpropagation neural network (BPNN) for smart city development by Anchal Dahiya, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Mohd Anul Haq, Mohammed A. Aleisa, Abdullah Alenizi

“…Parking space prediction is a significant aspect of smart cities. …”
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Plasma S100A8/A9 level predicts response to immune checkpoint inhibitors in patients with advanced non-small cell lung cancer by Tadahiro Kuribayashi, Rie Kinoshita, Kiichiro Ninomiya, Go Makimoto, Toshio Kubo, Kammei Rai, Eiki Ichihara, Katsuyuki Hotta, Masahiro Tabata, Yoshinobu Maeda, Katsuyuki Kiura, Shinichi Toyooka, Masakiyo Sakaguchi, Kadoaki Ohashi

“…Abstract Blood-based predictive markers for the efficacy of immune checkpoint inhibitors (ICIs) have not yet been established. …”
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Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem by Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan

“…Prediction of daily rainfall is important for flood forecasting, reservoir operation, and many other hydrological applications. …”
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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers by Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying

“…Water quality prediction is the basis of water environmental planning, evaluation, and management. …”
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Can a Modified Y-Balance Test Predict Running Overuse Injuries over the Course of a Division I Collegiate Cross-Country Season? by Hanz Tao, Creighton Thompson, Steven Weber

“…The Y-Balance Test (YBT) has the potential to predict ROI risk in collegiate runners. # Purpose To investigate whether a preseason clinical assessment of dynamic balance, through a modified version of the YBT (mYBT), can predict risk of ROIs during one NCAA Division I cross-country (XC) season…”
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The feasibility of using liver function indices and FibroScan in combination to predict the occurrence of anti-tuberculosis drug-induced liver injury in Patients with liver disease by Shaoqiang Wu, Qiaohua Yang, Huai Li, Yongzhong Li

“…The area under the ROC curves indicated excellent predictive accuracy of these parameters. A nomogram for predicting DILI based on the combined biomarkers was established. …”
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Cross Section Prediction for Inclusive Production of Z Boson in pp Collisions at s=14 TeV: A Study of Systematic Uncertainty due to Scale Dependence by Hasan Ogul, Kamuran Dilsiz

“…The central values of the predictions are based on DYNNLO 1.5 program and the uncertainties are extracted using FEWZ 3.1 program. …”
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Predicting Future Surface Runoff Delivered to the Euphrates River Using LARSWG and SWAT Models: (Sahiliya Valley in the Iraqi Western    Desert as a Case Study) by Wisam Abdulabbas Abidalla, Basim Sh. Abed

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Which Tests Predict 6-Month Isokinetic Quadriceps Strength After ACL Reconstruction?... by Nicholas Giampetruzzi, Adam P Weaver, Dylan P Roman, Joshua A Cleland, Brandon M Ness

“…Regression analysis was used to evaluate the predictive relationship between 3-month isometric tests and 6-month isokinetic knee extension tests…”
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Climatic, Regional Land-Use Intensity, Landscape, and Local Variables Predicting Best the Occurrence and Distribution of Bee Community Diversity in Various Farmland Habitats in Uganda by M. B. Théodore Munyuli

“…The percent cover of semi-natural habitats and natural in the farmland predicted best the occurrence and distribution in central Uganda. …”
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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

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The Utility of Point of Care Test for Soluble ST2 in Predicting Adverse Cardiac Events during Acute Care of ST-Segment Elevation Myocardial Infarction by Anggoro Budi Hartopo, Indah Sukmasari, Ira Puspitawati

“…The aim of this study was to investigate the utility of the sST2 POCT measurement for predicting adverse cardiac events during acute care of ST-elevation myocardial infarction (STEMI). …”
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Comparison of the mid-infrared spectra and prediction equations developed from morning and evening milk samples from twice-a-day milked dairy cows by M. Frizzarin, E. Hayes, A. Casa, D.P. Berry

“…Similarly, the root mean square error from predictions developed and validated on evening spectra samples was 3.46, which increased to 3.85 when the prediction equation was developed using only morning spectra. …”
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Unveiling students’ learning strategies and barriers to extensive reading: a case study in an Indonesian university by Luthfaturrohmah

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Seasonal forecasting of East African short rains by Agumase Kindie Tefera, Giovanni Liguori, William Cabos, Antonio Navarra

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Energy management of smart buildings during crises and digital twins as an optimisation tool for sustainable urban environment by Konstantinos Chatzikonstantinidis, Nicholas Afxentiou, Effrosyni Giama, Paris A. Fokaides, Agis M. Papadopoulos

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