Development of a digital treatment analyzer for the management of prostate cancer patients, with the help of real world data and use of predictive modelling by Lev Korolkov, Heather A Robinson, Konstantinos Mouratis

“…We aim to present the concept of a digital treatment analyzer (TA) for the management of prostate cancer (PC) patients, leveraging real-world data (RWD) and predictive modeling to enhance personalized disease management strategies and adherence to PC guidelines, ultimately aiming to optimize therapeutic efficacy and improve outcomes. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. This study aims to enhance the accuracy and practical applicability of cyberspace vulnerability prediction. …”
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Know your competitor! Analyzing and predicting the location of competing stores: The case study of Valora at Swiss railway stations by Thomas Wieland

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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

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Analyzing Taiwanese Traffic Patterns on Consecutive Holidays Through Forecast Reconciliation and Prediction-Based Anomaly Detection Techniques by Mahsa Ashouri, Frederick Kin Hing Phoa, Marzia Angela Cremona

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Analyzing and predicting short-term substance use behaviors of persons who use drugs in the great plains of the U.S. by Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan

“…At the population level, we analyze our data quantitatively for 18 illicit drugs; then, at the individual level, we build interpretable machine learning logistic regression and decision tree models for identifying relevant attributes to predict, for a given PWUD, (i) which drug(s) they would likely use and (ii) which drug(s) they would likely increase usage within the next 12 months. …”
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Analyzing Key Predictors of Postoperative Delirium Following Coronary Artery Bypass Grafting and Aortic Valve Replacement: A Machine Learning Perspective by Marija Stošić, Velimir Perić, Dragan Milić, Milan Lazarević, Jelena Živadinović, Vladimir Stojiljković, Aleksandar Kamenov, Aleksandar Nikolić, Mlađan Golubović

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Protocol to analyze deep-learning-predicted functional scores for noncoding de novo variants and their correlation with complex brain traits by Enrique Mondragon-Estrada, Sarah U. Morton

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Robust and reproducible human intestinal organoid-derived monolayer model for analyzing drug absorption by Kai Tanaka, Tatsuki Mochizuki, Shogo Baba, Shigeto Kawai, Kiyotaka Nakano, Tatsuhiko Tachibana, Kohsuke Uchimura, Atsuhiko Kato, Takashi Miyayama, Tomohito Yamaguchi, Hiroshi Nishihara, Kimio Terao, Yasutaka Kato

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Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage by Hyeok-Jin Bak, Eun-Ji Kim, Ji-Hyeon Lee, Sungyul Chang, Dongwon Kwon, Woo-Jin Im, Woon-Ha Hwang, Jae-Ki Chang, Nam-Jin Chung, Wan-Gyu Sang

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miRAW: A deep learning-based approach to predict microRNA targets by analyzing whole microRNA transcripts. by Albert Pla, Xiangfu Zhong, Simon Rayner

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Analyzing Agricultural Land Price Prediction Using Linear Regression and XGBoost Machine Learning Algorithms: A Case Study of Çanakkale by Simge Doğan, Levent Genç, Sait Can Yücebaş, Metin Uşaklı

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Deciphering Seasonal Patterns in Animal Feeding: A Mechanistic Approach to Analyzing the Restricted Growth of Iberian Pigs by Fernando Sánchez-Esquiliche, Chelo Ferreira, Rosa Nieto, Luisa Ramírez, Gema Matos, Ana Muniesa

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Analyzing Influencing Factors of Uterine Rupture in Pregnant Women with Scarred Uterus Undergoing Repeat Delivery and Evaluating the Predictive Value of Lower Uterine Anterior Wall Thickness by Zhang L, Li T, Zhang P, Li C

“…Liying Zhang,1,* Ting Li,1,* Pengming Zhang,1 Chunjuan Li2 1Department of Ultrasound Medicine, Zhangjiakou First Hospital, Zhangjiakou, Hebei Province, 075000, People’s Republic of China; 2Department of Obstetrics and Gynecology, Chongli Hospital, Peking University Third Hospital, Beijing, 076350, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ting Li, Email tgps643@163.comObjective: To analyze influencing factors of uterine rupture in pregnant women with a scarred uterus undergoing repeat delivery and to investigate the predictive value of transabdominal ultrasound measurement of lower uterine anterior wall thickness.Methods: A retrospective analysis of 159 pregnant women with scarred uterus (March 2022–May 2024) divided into rupture group (n=48) and non-rupture group (n=111). …”
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Analyzing Climate Change Status through Evaluating Trend of Temperature and Rainfall and Predicting Future Climate Change Status at Lake Tana Basin by Tesfaye Bayu Zeleke, Tri Retnaningsih Soeprobowati, Solomon Adissu, Meseret Abatechanie

“…The trends of temperature and rainfall were analyzed using the modified Mann-Kendall trend test, while the autoregressive integrated moving average model (ARIMA) was used to predict future temperature and rainfall. …”
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Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f.... by Lang Huang, Weihao Yao, Xu Xiao, Yang Zhang, Rui Chen, Yanbing Yang, Zhi Li

“…We also analyzed spatial displacement of habitat centroids to explore potential migration pathways. …”
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Predicting Methods for Analyzing Data on Fatal Outcome Possibility in the Combination of Acute Coronary Syndrome and Atrial Fibrillation According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

“…To determine predictors of models predicting the possible fatal outcome of a patient, the Spearman correlation coefficient was used. …”
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Serial Examination of Platelet Function Tests Might Predict Prognosis of Patients with Acute Ischemic Stroke—A Cohort Study by Hsin-Ju Ho, Li-Ching Wu, Yu-Wei Chen

“…Background: This study investigated whether point-of-care platelet function measurements could predict favorable outcomes in patients with acute ischemic stroke (AIS). …”
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Analyzing the infertility burden of polycystic ovarian syndrome in China: A comprehensive age-period-cohort analysis with future burden prediction (1990–2030) by DongYi Shen, Yang Wang, PanWei Hu, Cong Qi, Hong Yang

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Analyzing the efficacy of trimethylolpropane trioleate oil for predicting cutting power and surface roughness in high-speed drilling of Al-6061 through machine learning. by Pramod S Kathmore, Bhanudas D Bachchhav, Duran Kaya, Sachin Salunkhe, Lenka Cepova, Ondřej Mizera, Emad Abouel Nasr

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