Factors influencing therapeutic efficacy of denosumab against osteoporosis in systemic lupus erythematosus by Sung-Hwan Park, Seung-Ki Kwok, Wan-Uk Kim, Ji Hyeon Ju, Jiwon Yang, Youngjae Park, Jennifer Jooha Lee

“…The therapeutic efficacy of denosumab can be predicted by baseline BMD values, SLEDAI-2K scores and hydroxychloroquine use.…”
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Analysis of Optimal Health-Related Quality of Life Measures in Patients Waitlisted for Lung Transplantation by Junko Tokuno, Toyofumi F Chen-Yoshikawa, Toru Oga, Takahiro Oto, Tomoyo Okawa, Yoshinori Okada, Miki Akiba, Masaki Ikeda, Daisuke Nakajima, Masatsugu Hamaji, Hideki Motoyama, Akihiro Aoyama, Maki Isomi, Kazuo Chin, Hiroshi Date

“…Multiple regression analyses to investigate factors predicting each HRQL score indicated that dyspnea and psychological status accounted for 12% to 28% of the variance more significantly than physiological measures did. …”
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SNP rs9364554 Modulates Androgen Receptor Binding and Drug Response in Prostate Cancer by Yuqian Yan, Lei Shi, Tao Ma, Liguo Wang, Haojie Huang

“…More importantly, we found that this SNP has different binding affinities with transcription factors, specifically FOXA1 and AR, which significantly affects their regulation of <i>SLC22A3</i> transcription. (4) Conclusions: Our findings highlight the potential of using this SNP as a biomarker for predicting chemotherapeutic outcomes and uncover possible mechanisms underlying drug resistance in advanced prostate cancers. …”
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Analysis of Health Impacts from Future Air Quality Changes Considering the Aging Population in Korea by Jinseok Kim, Youjung Jang, Hyejung Hu, Younha Kim, Bomi Kim, Seung Jick Yoo, Jae-Bum Lee, Seung-Hee Eun, Sung-Chul Hong, Hyungah Jin, Jung-Hun Woo

“…When predicting the health impacts of PM_2.5 from future air quality changes, it is crucial to consider both air quality improvements and population aging. …”
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Development of a prognostic model based on four genes related to exhausted CD8+ T cell in triple-negative breast cancer patients: a comprehensive analysis integrating scRNA-seq and... by Yulin Shi, Yang Yu, Jiahan Zhao, Linan Huang, Qingyang Wang, Qi Sun, Lijuan Liu, Changgang Sun

“…The model demonstrated robust predictive capability in both the TCGA cohort and an external cohort, with the low-risk group exhibiting elevated expression of immunological checkpoint molecules and immune cell infiltration, as well as better responses to immunotherapy and chemotherapy. …”
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Increasing Dose of Autologous Bone Marrow Mononuclear Cells Transplantation Is Related to Stroke Outcome: Results from a Pooled Analysis of Two Clinical Trials by Francisco Moniche, Paulo Henrique Rosado-de-Castro, Irene Escudero, Elena Zapata, Francisco Javier de la Torre Laviana, Rosalia Mendez-Otero, Magdalena Carmona, Pilar Piñero, Alejandro Bustamante, Lucía Lebrato, Juan Antonio Cabezas, Alejandro Gonzalez, Grabriel R. de Freitas, Joan Montaner

“…A cut point of 310 × 106 injected cells predicted good outcome with 80% sensitivity and 88.2% specificity. …”
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Integrated information theory reveals the potential role of the posterior parietal cortex in sustaining conditioning responses in classical conditioning tasks by Tien Cuong Phi, Shin Ishii, Shin Ishii, Shin Ishii, Masashi Kondo, Masanori Matsuzaki, Masanori Matsuzaki, Masanori Matsuzaki, Masanori Matsuzaki, Ken Nakae

“…Previous research has identified key neural regions involved in processing reward-predicting cues and mediating licking behavior. However, the mechanisms that sustain high conditioned response rates across repeated sessions remain elusive, particularly regarding how the reward expectation is represented on a session-by-session basis. …”
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Investigation of corrosion and water absorption of biomass natural coir fiber/hBN reinforced epoxy hybrid composites using different optimisation approaches by Ramraji Kirubakaran, Shenbaga Velu Pitchumani, Sanju Tom, R. Ashwin Nagaraj, P. Salin, Harish Kumar Natchimuthu, Venkatachalam Gopalan, G. Vinayagamurthy

“…In addition, the study utilizes four metaheuristic algorithms—the Dragonfly Algorithm (DFO), the Salp Swarm Algorithm (SSA), Teaching Learning Optimization (TLO) and Particle Swarm Optimization (PSO)—alongside regression equations to predict the optimal characteristics of the composite material. …”
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Microbial community differentiation in vent chimneys of the Lost City Hydrothermal Field reflects habitat heterogeneity by Osama M. Alian, William J. Brazelton, Karmina A. Aquino, Katrina I. Twing, H. Lizethe Pendleton, Gretchen Früh-Green, Susan Q. Lang, Matthew O. Schrenk, Matthew O. Schrenk

“…Shotgun metagenomic analyses reveal differences among genes predicted to be involved in carbon, methane, nitrogen and sulfur cycling with respect to their correlations to the abundances of specific minerals. …”
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An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma by Michele Massimino, Elena Tirrò, Stefania Stella, Cristina Tomarchio, Sebastiano Di Bella, Silvia Rita Vitale, Chiara Conti, Marialuisa Puglisi, Rosa Maria Di Crescenzo, Silvia Varricchio, Francesco Merolla, Giuseppe Broggi, Federica Martorana, Alice Turdo, Miriam Gaggianesi, Livia Manzella, Andrea Russo, Giorgio Stassi, Rosario Caltabiano, Stefania Staibano, Paolo Vigneri

“…Results: Employing commercial gene panels, reference mutated DNAs and Sanger sequencing, we performed a comparative analysis and found that our methodological approach successfully predicted survival with great specificity and sensitivity compared to the TCGA-UM cohort that was used as a validation group. …”
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A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography by Sule Erdem, Suheda Erdem, Muammer Turkoglu, Abdulkadir Sengur, Nebras M. Sobahi

“…The visual results showed that the segmentation masks of the MultiResUNet-Fusion models provided predictions close to the real labels, and all models generally localized the region of interest accurately. …”
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Chemical, Spectral, Biological, and Toxicological Studies of Some Benzene Derivatives Used in Pharmaceuticals: In Silico Approach by Emranul Kabir, M R O Khan Noyon, Md Rabiul Alam, Mr. Nasiruddin, Sajia Islam, Mahima Akter, Monir Uzzaman

“…All derivatives were predicted by ADMET to have improved pharmacokinetic properties and less acute oral toxicity. …”
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Examined lymph node counts affected the staging and survival in cervical cancer: a retrospective study using the SEER and Chinese cohort by Tao Guo, Yuxi Zhao, Jia Zeng, Jian Li, Enyu Tang, Lingying Wu

“…An elevated LN-positive ratio (positive/examined LNs) strongly predicted worse OS (HR: 4.208; 95% CI: 1.454–12.181).Conclusions An increased number of examined LNs significantly contributes to the detection of positive LNs and improved patient survival. …”
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Trends of Soil and Solution Nutrient Sensing for Open Field and Hydroponic Cultivation in Facilitated Smart Agriculture by Md Nasim Reza, Kyu-Ho Lee, Md Rejaul Karim, Md Asrakul Haque, Emmanuel Bicamumakuba, Pabel Kanti Dey, Young Yoon Jang, Sun-Ok Chung

“…Key technologies include electrochemical and optical sensors, Internet of Things (IoT)-enabled monitoring, and the integration of machine learning (ML) and artificial intelligence (AI) for predictive modeling. Blockchain technology is also emerging as a tool to enhance transparency and traceability in nutrient management, promoting compliance with environmental standards and sustainable practices. …”
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Extrapolation of cavitation and hydrodynamic pressure in lubricated contacts: a physics-informed neural network approach by Faras Brumand-Poor, Freddy Kokou Azanledji, Nils Plückhahn, Florian Barlog, Lukas Boden, Katharina Schmitz

“…Thus, unlike traditional NNs, PINNs have the potential to make accurate predictions beyond the limited training domain. The objective of this study is to demonstrate the feasibility of spatial and temporal extrapolation of the PINN and to analyze its reliability, both with and without consideration of cavitation. …”
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Designing a Forecasting Model and Evaluating the Strategic Cooperation between the Banking System and Fintech Startups using the Adaptive Neural Fuzzy Inference System (ANFIS) by Arash Onsori, Abbas Khamseh, Taghi Torabi, Hamid Reza Yazdani

“…This research aims to develop a robust predictive model for evaluating the strategic cooperation between Iran's banking system and fintech startups. …”
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Dysregulation of transposable elements and PIWI-interacting RNAs in myelodysplastic neoplasms by Zdenek Krejcik, David Kundrat, Jiri Klema, Andrea Hrustincova, Iva Trsova, Monika Belickova, Jaroslav Cermak, Anna Jonasova, Jiri Dostal, Michaela Dostalova Merkerova

“…Importantly, the upregulation of PIWIL2, which encodes a key factor in the piRNA pathway, independently predicted poor prognosis in MDS patients, underscoring its potential as a valuable disease marker. …”
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Adulthood trajectories of resilience and vulnerability: exploring gender differences in disadvantage after experience of out-of-home care by Lisa Bornscheuer, Evelina Landstedt, Karl Gauffin, Ylva B. Almquist

“…Multinomial logistic regression was then used to determine whether gender and education, individually or in interaction with each other, predict group membership. Results In the population without history of out-of-home care, adulthood disadvantage was highly gendered, with women being more likely to experience disadvantage related to unemployment and poor health, while criminality and substance misuse was more common among men. …”
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GPX3-Mediated Oxidative Stress Affects Pyrimidine Metabolism Levels in Stomach Adenocarcinoma via the AMPK/mTOR Pathway by Yaowen Zhang, Yixin Yang, Shanshan Kuang, Yang Zhang, Hancheng Qin, Jisheng Xie

“…Three AAMRGs, DNMT1, F2R, and GPX3, could independently predict the course of STAD. Pyrimidine metabolism appeared to be significantly associated with these by GSEA and clustering analyses. …”
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Comprehensive Analysis of PDLIM3 Expression Profile, Prognostic Value, and Correlations with Immune Infiltrates in Gastric Cancer by Xinpeng Hu, Minfeng Chen, Qiang Ruan, Changzheng Shi, Jinghua Pan, Liangping Luo

“…We propose that PDLIM3 could be used as a biomarker to predict prognosis and immune cell infiltration in gastric cancer.…”
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