Exploring the barriers to cervical screening and perspectives on new self-sampling methods amongst under-served groups by Stephanie Gillibrand, Helen Gibson, Kelly Howells, Sean Urwin, Jennifer C. Davies, Emma J. Crosbie, Caroline Sanders

“…Methods We draw on three integrated theoretical frameworks (access to primary care services, intersectional and feminist perspectives) to examine participants’ barriers to screening and views toward self-sampling methods. …”
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An early lung cancer diagnosis model for non-smokers incorporating ct imaging analysis and circulating genetically abnormal cells (CACs) by Ran Ni, Yongjie Huang, Lei Wang, Hongjie Chen, Guorui Zhang, Yali Yu, Yinglan Kuang, Yuyan Tang, Xing Lu, Hong Liu

“…Furthermore, our results indicated that the model built using random forest (RF) method, which integrates clinical characteristics (age, extra-thoracic cancer history, gender), radiological characteristics of pulmonary nodules (nodule diameter, nodule count, upper lobe location, malignant sign at the nodule edge, subsolid status), the artificial intelligence analysis of LDCT data, and liquid biopsy achieved the best diagnostic performance in the independent external non-smokers validation cohort (sensitivity 92%, specificity 97%, area under the curve [AUC] = 0.99). …”
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Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors by Nalan Karunanayake, Lin Lu, Hao Yang, Pengfei Geng, Oguz Akin, Helena Furberg, Lawrence H. Schwartz, Binsheng Zhao

“…This underscores the model’s significant potential for clinical integration, offering enhanced diagnostic precision and reliability in radiological assessments.…”
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Evaluation method and application for in-situ stress in No. 8+9 coal seam, southern Shenfu block, northeastern margin of Ordos Basin by Jiawei WU, Wei TANG, Yanhe ZHU, Cunwu WANG, Yongjing TIAN, Jingyu ZI, Jianghao YANG, Xian SHI

“…This approach aims to enhance production through large-scale extreme volume fracturing in horizontal wells by integrating the productivity of natural fractures and induced hydraulic fractures. …”
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A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care dataResearch in context by Olivia Murrin, Ninon Mounier, Bethany Voller, Linus Tata, Carlos Gallego-Moll, Albert Roso-Llorach, Lucía A. Carrasco-Ribelles, Chris Fox, Louise M. Allan, Ruby M. Woodward, Xiaoran Liang, Jose M. Valderas, Sara M. Khalid, Frank Dudbridge, Sally E. Lamb, Mary Mancini, Leon Farmer, Kate Boddy, Jack Bowden, David Melzer, Timothy M. Frayling, Jane A.H. Masoli, Luke C. Pilling, Concepción Violán, João Delgado

“…We address this gap by integrating large-scale primary-care and genetic data from multiple studies to interrogate multimorbidity patterns and producing digital resources to support future research. …”
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Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

“…Recent research has focused on the role of ubiquitination-related genes (URGs) in early OA prediction. This study aims to integrate URG expression data with machine learning (ML) to identify biomarkers that improve diagnosis and prognosis in the early stages of OA.MethodsOA single-cell RNA sequencing datasets were collected from the GEO database. …”
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Validation study of synthetic models for esophageal atresia with tracheoesophageal fistula (EA/TEF): A simulation-based training in pediatric surgery by Zahradníková Petra, Hnilicová Silvia, Lindák Martin, Pechanová Rebeka, Števková Dominika, Vitovič Pavol, Laurovičová Miroslava, Horn František, Tvrdoň Tomáš, Babala Jozef

“…The purpose of this study was to analyse experiences with paediatric MIS, the implementation of simulation training, and personal stances on integrating simulation training into training curricula. …”
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Depot-specific acetylation profiles of adipose tissues—therapeutic targets for metabolically unhealthy obesity by Haoyue Guo, Zhiyi Zhang, Juntao Yang, Jiangfeng Liu, Hongwei Lin, Ningbei Yin

“…Differentially expressed proteins and differentially modified Kac sites were identified, quantified, integrated, and subjected to functional analyses. Overlap analysis was performed between our datasets and previously published proteomic datasets in obesity populations. …”
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Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize by Manigben Kulai Amadu, Yoseph Beyene, Vijay Chaikam, Pangirayi B. Tongoona, Eric Y. Danquah, Beatrice E. Ifie, Juan Burgueno, Boddupalli M. Prasanna, Manje Gowda

“…Conclusion The lines carrying superior haplotypes can be used as potential donors in improving grain yield under drought stress. Integration of genomic selection with GWAS results leads not only to an increase in the prediction accuracy but also to validate the function of the identified candidate genes as well increase in the accumulation of favorable alleles with minor and major effects in elite breeding lines. …”
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An Ultra-Low Power, Adaptive All-Digital Frequency-Locked Loop With Gain Estimation and Constant Current DCO by Imran Ali, Hamed Abbasizadeh, Muhammad Riaz Ur Rehman, Muhammad Asif, Seong Jin Oh, Young Gun Pu, Minjae Lee, Keum Cheol Hwang, Youngoo Yang, Kang-Yoon Lee

“…The proposed design is integrated in an ADPLL for BLE transceiver and it is fabricated with 1P6M TSMC 55 nm CMOS technology. …”
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms by Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

“…Conclusions Our study suggests ML derived algorithms could be used to rapidly identify children at increased risk of LDD. Integrating ML derived models into clinical decision-making may allow clinicians to target these children with closer observation and enhanced management.…”
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DEVELOPING INFORMATION AND TECHNOLOGICAL COMPETENCE OF PROSPECTIVE MILITARY SAILORS by Ruslan Shevchenko, Oleh Cherniavskyi, Vasyl Shemchuk, Olena Zlobina, Natalia Benkovska, Nataliia Terentieva, Андрій Гуралюк

“…In the framework of our research we understand this competence as an integral quality of a person which combines motivation, knowledge, skills, experience in the use of modern information technologies during professional activities related to the performance of duties of future officers of the Ukrainian Navy of the Armed Forces of Ukraine (including  management of combat modules, unmanned aerial vehicles, digital weapons, the possibility of using artificial intelligence in combat systems, ensuring cyber security of weapons and military equipment, etc.). …”
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Accurate phenotype-to-genotype mapping of high-diversity yeast libraries by heat-shock-electroporation (HEEL) by Marcus Wäneskog, Emma Elise Hoch-Schneider, Shilpa Garg, Christian Kronborg Cantalapiedra, Elena Schäfer, Michael Krogh Jensen, Emil Damgaard Jensen

“…To further refine our library screening approach, we integrated an automated yeast genotyping workflow with a dual-barcode design that employs both a single nucleotide polymorphism and a high-diversity region. …”
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Cancer stem cells and tumor-associated macrophages as mates in tumor progression: mechanisms of crosstalk and advanced bioinformatic tools to dissect their phenotypes and interacti... by Francesco Verona, Sebastiano Di Bella, Roberto Schirano, Camilla Manfredi, Francesca Angeloro, Giulia Bozzari, Matilde Todaro, Matilde Todaro, Giuseppe Giannini, Giuseppe Giannini, Giorgio Stassi, Veronica Veschi

“…Interestingly, the bidirectional influence of CSCs and TME leads to an epigenetic reprogramming which sustains malignant transformation. Nowadays, the integration of biological and computational data obtained by cutting-edge technologies (single-cell RNA sequencing, spatial transcriptomics, trajectory analysis) has significantly improved the comprehension of the biunivocal multicellular dialogue, providing a comprehensive view of the heterogeneity and dynamics of CSCs, and uncovering alternative mechanisms of immune evasion and therapeutic resistance. …”
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Synthetic CB1 Cannabinoids Promote Tunneling Nanotube Communication, Cellular Migration, and Epithelial–Mesenchymal Transition in Pancreatic PANC-1 and Colorectal SW-620 Cancer Cel... by David A. Bunsick, Leili Baghaie, Yunfan Li, Abdulrahman M. Yaish, Emilyn B. Aucoin, Elizabeth Skapinker, Rashelle Aldbai, Myron R. Szewczuk

“…During this reprogramming process, cancer cells’ metabolism and other cellular activities are integrated and mutually regulated by tunneling nanotube communications to alter their specific metabolic functional drivers of tumor growth and progression. …”
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Inpatient dialectical behavior therapy combined with trauma-focused therapy for PTSD and borderline personality disorder symptoms: study design of the naturalistic trauma therapy s... by Annemieke C. Kamstra, Annemieke C. Kamstra, Sybolt O. de Vries, Maarten F. Brilman, Petty Vasilev, Manna A. Alma, Antoinette D. I. van Asselt, Antoinette D. I. van Asselt, Mia De Wolf, Robert A. Schoevers, Frederike Jörg

“…Multiple imputation is used to handle missing data.DiscussionResearch on the effects of integrated treatment programs for clients with severe PTSD and co-morbid conditions is scarce. …”
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Noninvasive oxygenation and ventilation strategies for viral acute respiratory failure: a comprehensive systematic review and meta-analysis by Fredy Leonardo Carreño-Hernández, Sergio Prieto, Daniela Abondando, Jairo Alejandro Gaitán, Yenny Rocío Cárdenas -Bolívar, Adriana Beltrán, Jorge Iván Alvarado-Sánchez, Joseph L. Nates

“…Although it is essential to interpret these findings with caution given the overall low to medium certainty of the evidence, the integration of these modalities as part of the management strategies of these patients could help reduce the utilization of ICU beds, invasive ventilators, and costs in both developed and developing countries.…”
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Benefits, limits, and risks of ChatGPT in medicine by Jonathan A. Tangsrivimol, Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk, Zhen Wang, Zhen Wang, Jan Egger, Michelle Wang, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Markus Strauss, Chayakrit Krittanawong, Chayakrit Krittanawong

“…Ethical, privacy, and regulatory challenges further complicate its integration. Future improvements should focus on enhancing accuracy, developing multimodal AI models, improving empathy through sentiment analysis, and safeguarding against artificial hallucination. …”
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Prediction of major adverse cardiovascular events following ST-segment elevation myocardial infarction using cardiac obesity marker—epicardial adipose tissue mass index: a prospect... by Zeyan Liu, Jinbo Wang, Yanfang Yang, Jinglin Cheng, Min Yang, Ye Zhang

“…The predictive performance of EAMI was assessed through receiver operating characteristic (ROC) curves, C-index, net reclassification index (NRI), integrated discriminant improvement (IDI), coefficient of determination (R2), calibration curves, Brier score, and decision curve analysis (DCA) with comparisons to the GRACE score. …”
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Characterizing local forest structural complexity based on multi-platform and -sensor derived indicators by Patrick Kacic, Ursula Gessner, Christopher R. Hakkenberg, Stefanie Holzwarth, Jörg Müller, Kerstin Pierick, Dominik Seidel, Frank Thonfeld, Michele Torresani, Claudia Kuenzer

“…In light of these concerns, we integrated remote sensing data from multiple platforms and sensors to test the potential for quantifying different levels of structural complexity in temperate forests. …”
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