Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants by Deise Cristina Dal’Ongaro, Cicero Cena, Bruno Spolon Marangoni, Daniele A. Soares-Marangoni

“…This study aimed to explore the development of a method for the diagnosis of congenital syphilis using saliva FTIR spectra and machine learning algorithms in infants aged 0 to 12 months. First, the potential of FTIR for analyzing infant saliva was evaluated. …”
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Automatic Scan-to-BIM—The Impact of Semantic Segmentation Accuracy by Jidnyasa Patil, Mohsen Kalantari

“…We provide insights into why this occurred based on the architectural differences among the deep learning models evaluated. …”
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A novel molecular classification system for head and neck squamous cell carcinoma: predicting treatment response and metastatic potential through multi-omics analysis by XinYu Liu, YuJun Liu, XuTengYue Tian, Yue Xi, MiaoMiao Lu, Xin Zou, WanTao Chen

“…Molecular subtyping was performed through ssGSEA and WGCNA analysis, with immune infiltration evaluated using CIBERSORT. We developed a machine learning-based risk prediction model using 54 algorithms. …”
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Predictive biomarkers and molecular subtypes in DLBCL: insights from PCD gene expression and machine learning by Tiantian He, Jie Geng, Chuandong Hou, Hongyi Li, Hong Zhang, Peng Zhao, Peifeng He, Xuechun Lu

“…Additionally, 12 machine learning algorithms were employed to construct predictive models for DLBCL, with performance evaluated using AUC and F-score metrics. …”
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Point-of-care prognostication in moderate Covid-19: Analytical validation and prognostic accuracy of a soluble urokinase plasminogen activator receptor (suPAR) rapid test. by Arjun Chandna, Raman Mahajan, Priyanka Gautam, Lazaro Mwandigha, Sabine Dittrich, Vikash Kumar, Jennifer Osborn, Pragya Kumar, Constantinos Koshiaris, George M Varghese, Yoel Lubell, Sakib Burza

“…However, most studies evaluating suPAR have used platform-based assays, the accuracy of which may differ from point-of-care tests capable of informing timely triage in settings without established laboratory capacity. …”
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Key gene screening and diagnostic model establishment for acute type a aortic dissection by Yue Pan, Zhiming Yu, Xiaoyu Qian, Xuesong Zhang, Qun Xue, Weizhang Xiao

“…External dataset validation and PCR testing of clinical samples (n = 9) were conducted to confirm gene expression differences. A nomogram diagnostic model was constructed and evaluated for predictive accuracy.ResultsSix core genes were identified: Ccl2, Cdh8, Hk2, Tph1, Npy1r, and Slc24a4, with four (Ccl2, Hk2, Tph1, and Npy1r) showing significant differential expression in clinical validation. …”
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The use of a three-dimensional mesh in plastic surgery by Rodrigo de Faria Valle Dornelles, Nivaldo Alonso, Luiz Alexandre Lorico Tissiani, Anderson Rodrigo Souza, Lúcia Nocchi Cardim

“…INTRODUCTION: Image recording as we know it today has evolved considerably from the beginning of photography by means of light printing directly onto a photosensitive material, up to the mathematical algorithms that constitute three-dimensional (3-D) meshes in stereophotogrammetry. …”
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Spatial pattern and heterogeneity of green view index in mountainous cities: a case study of Yuzhong district, Chongqing, China by Aiping Gou, Xuyuan Wang, Jiangbo Wang, Chenjie Wang, Guanzheng Tan

“…This study investigates the spatial heterogeneity of the GVI and its influencing factors in Yuzhong District, Chongqing, a mountainous city in China. Deep learning algorithms were employed to calculate the green visibility of street view images, and Geographic Weighted Regression (GWR) and the Optimal Parameter-Based Geodetector (OPGD) were utilized to analyze the relationships between GVI and factors such as road physical attributes, the Normalized Difference Vegetation Index (NDVI), and topographic features. …”
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Non-Contact Platform for the Assessment of Physical Function in Older Adults: A Pilot Study by Ana Sobrino-Santos, Pedro Anuarbe, Carlos Fernandez-Viadero, Roberto García-García, José Miguel López-Higuera, Luis Rodríguez-Cobo, Adolfo Cobo

“…By applying markerless motion capture algorithms, the system provides key biomechanical parameters such as center of mass displacement, knee angles, and sway trajectories. …”
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Urine flow cytometry in older adults urinary tract infection diagnosis: is it time to reevaluate thresholds for men and women? by Adrien Biguenet, Elisa Champy, Marine Gilis, Houssein Gbaguidi-Haore, Isabelle Patry, Kévin Bouiller, Xavier Bertrand

“…Abstract Background To evaluate the utility of automated urine flow cytometry in the diagnosis of urinary tract infection (UTI) in older patients without waiting for urine culture results. …”
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Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis by Subo Zhang, Zhitao Zhu, Zhenfei Yu, Haifeng Sun, Yi Sun, Hai Huang, Lei Xu, Jinxin Wan

“…ObjectiveThis meta-analysis evaluates the effectiveness of AI in enhancing CT image quality and lowering radiation doses. …”
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Differential chemoproteomic analysis of RRS-1 candidate molecule and molecules of several nonsteroidal anti-inflammatory drugs by P. A. Galenko-Yaroshevsky, I. Yu. Torshin, A. N. Gromov, O. A. Gromova, K. F. Suzdalev, R. A. Murashko, A. V. Zelenskaya, A. V. Zadorozhniy, T. R. Glechyan, G. V. Simavonyan, E.M. I. Muhammad

“…To plan effective and safe pharmacotherapy for inflammation and pain, it is important to evaluate the mechanisms and spectrum of action of nonsteroidal anti-inflammatory drugs (NSAIDs), including their effects on human proteome.Objective: to identify and evaluate the most significant specific differences of candidate molecule RRS-1 (N-{(Z)-2-(1-methyl-1H-indol-3-yl)1-[(propylamino)carbonyl]vinyl}benzamide) from other NSAIDs through differential chemoreactome analysis.Material and methods. …”
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Optimization of Traffic Flow by Allowing Private Cars to Merge into the Bus Lane at Specific Locations by Zhentao Yin, Kai Yuan, Shenshen Zheng

“…We use the genetic algorithms to optimize the system. Finally, simulation results show that the partially space-shared bus lane reduces private-car delays and total delays of the system. …”
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Safety assessment of sodium zirconium cyclosilicate: A FAERS-based disproportionality analysis. by Yongfei Yu, Kaiyu Zhang, Jinglin Gao, Guoshun Huang, Chen Yong, Yuan Wei, Enchao Zhou

“…In this study, we used the Food and Drug Administration Adverse Event Reporting System (FAERS) database to evaluate the safety profilet of SZC. This retrospective analysis involved FAERS data from the third quarter of 2018 to the fourth quarter of 2023. …”
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Socio-Economical Analysis of a Green Reverse Logistics Network under Uncertainty: A Case Study of Hospital Constructions by Alireza Alibakhshi, Amirreza Saffarian, Erfan Hassannayebi

“…It suggests potential future directions, such as the application of metaheuristic algorithms and improved stochastic planning methods.…”
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Hindcasting Maximum Water Depths in Coastal Watersheds: The Importance of Incorporating Off‐Channel Data and Their Uncertainties in Machine Learning Models by Maryam Pakdehi, Ebrahim Ahmadisharaf

“…To answer these questions, we evaluated the performance of ML models across three large coastal watersheds in the US during three hurricanes—Michael, Ida and Ian. …”
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RETRACTED ARTICLE: Molecular mechanism and diagnostic marker investigation of endoplasmic reticulum stress on periodontitis by Qianqian Sun, Enqiang Zhu

“…Two machine learning algorithms were used to reveal potential ERS diagnostic markers of periodontitis. …”
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ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution by Ahmed A. Al-Saedi, Veselka Boeva

“…This can result in significant model divergence and decreased performance due to differences in data distributions between various clients. …”
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Tirzepatide safety in type 2 diabetes: a disproportionality analysis of adverse events using the FDA FAERS database by Zhenpo Zhang, Jiangxiong Li, Jingping Zheng, Yankun Liang, Lin Ma, Ling Su

“…This study evaluated adverse events reported with tirzepatide, a dual GIP/GLP-1 receptor agonist approved for type 2 diabetes and obesity, using real-world data from the FDA Adverse Event Reporting System. …”
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Comparison of dose calculation approaches and clinical dose–response in image-guided head&neck brachytherapy of the oral cavity by Sabrina Schaller, Vratislav Strnad, Claudia Schweizer, Dorota Lubgan, Ricarda Merten, Rainer Fietkau, Christoph Bert, Andre Karius

“…All clinical, TG-43 based treatment plans were re-calculated using a MBDCA integrated into our planning system. Differences considering several target volume, tissue, and bone dose parameters were evaluated. …”
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