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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Timber and carbon sequestration potential of Chinese forests under different forest management scenarios by Hui-Ling Tian, Jian-Hua Zhu, Xiang-Dong Lei, Xin-Yun Chen, Li-Xiong Zeng, Zun-Ji Jian, Fu-Hua Li, Wen-Fa Xiao

“…This study utilised the national forest inventory (NFI) data to construct a model of forest growth and consumption using a machine learning algorithm (i.e. random forest), identified suitable areas for future forest expansion by integrating multi-source data, and set up three future forest management scenarios: business as usual (BAU), enhanced policy scenario (EPS) and maximum potential scenario (MPS). …”
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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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From ocean to cage: evaluating the culture feasibility of Black-spotted croaker (Protonibea diacanthus) by Shubhadeep Ghosh, Gyanaranjan Dash, Biswajit Dash, Rajesh Kumar Pradhan, Sekar Megarajan, Pralaya Ranjan Behera, Ritesh Ranjan, Swatipriyanka Sen, Madhumita Das, Vettath Raghavan Suresh, Achamveetil Gopalakrishnan, Joykrushna Jena

“…These findings support the potential of P. diacanthus as a viable candidate for integration into commercial polyculture systems.…”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…Additionally, RPA analysis indicated a higher prevalence of KOA among individuals aged 54 years and older. The integration of the top five clinical variables significantly enhanced the diagnostic accuracy for KOA, particularly when employing the RF model. …”
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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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Genotypic difference in response to copper stress in upland cotton as revealed by physiological and molecular expression analyses by Jianfei Wu, Tao Wang, Yin Huang, Shuiping Xiao, Xiaoxia Luo, Yanfeng Deng, Xiu Yang, Qingquan Kong, Feiyu Tang

“…Then both lines were subjected to a comprehensive comparative study, aiming to unravel the cotton Cu tolerance mechanism through integrated morphological, physio-biochemical, Cu uptake and distribution, and related molecular expression analyses. …”
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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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