The use of Apple smartwatches to obtain vital signs readings in surgical patients by Shadi Alzahrani, Mohammed Nadershah, Mohammed Alghamdi, Razan Baabdullah, Mohammed Bayoumi, Othman Bawajeeh, Abdulrhman Alghamdi, Amr Bayoumi

“…Furthermore, this device can play a pivotal role in clinical management, facilitating the early detection of abnormal physiological parameters among pre-operative patients, thereby potentially reducing hospital admissions.…”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Internet of Things (IoT) devices often operate with limited resources while interacting with users and their environment, generating a wealth of data. …”
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Study on the potential diagnostic value of metabolomics changes in different biological fluids for aspiration pneumonia by Lianghui Chen, Yazhen Chen, Fansen Lin, Jianbao Wang, Hongzhi Gao, Yuqi Liu

“…Differential metabolites were identified using fold change analysis, statistical significance, and receiver operating characteristic (ROC) curve analysis to evaluate their diagnostic potential. …”
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A rare case of retained sabot after close-range shotgun injury by J. Alford Flippin, Sami Kishawi, Hannah Braunstein, Alaina M. Lasinski

“…Abstract Background Shotgun injuries are a relatively uncommon type of trauma, and therefore may present a challenge in management for trauma surgeons. This is particularly true in the case of surgeons unfamiliar with the unique characteristics of shotgun wounds and the mechanics of shotguns. …”
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Robotic vs. 3D laparoscopic resection for rectal cancer: a single-center retrospective study of short-term outcomes and functional recovery by Dunbo Liu, Qianshi Zhang, Fangliang Guo, Zhiwei Sun, Shuangyi Ren

“…Notably, the robotic approach yielded superior lymph node retrieval, facilitated earlier detection of pathological stages, promoted enhanced recovery of urogenital function, and was associated with a reduced incidence of severe postoperative complications. …”
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Genetics of diabetes and its complications: a comprehensive review by Abdul Sami, Ahsan Javed, Dilber Uzun Ozsahin, Ilker Ozsahin, Khalid Muhammad, Yasir Waheed

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Clinical and diagnostic insights into brucellar arthritis: a single-center retrospective cohort study by Qiangsheng Feng, Yuejuan Song, Yuan Xing, Xiaoqin Ha

“…Early diagnosis and combined medical-surgical management yield favorable outcomes.…”
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Texture analysis of T1- and T2-weighted images identifies myofiber atrophy and grip strength decline in streptozotocin-induced type 1 diabetic sarcopenia rats by Dong Xing, Fang Liu, Yufan Gao, Ziyan Fei, Yunfei Zha

“…Differences between the two groups were analyzed via t tests or Mann‒Whitney U tests. Receiver operating characteristic (ROC) analysis was conducted to evaluate the diagnostic performance of MRI texture features. …”
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Performance of a Retinal Imaging Camera With On-Device Intelligence for Primary Care: Retrospective Study by Matthew Silvestrini, Clarissa Lui, Anil Patwardhan, Ying Chen, Tayyeba Ali, Elie Glik, Honglei Wu, Brian Levinstein, Adrianna Wenz, Nathan Shemonski, Lin Yang, Ian Atkinson, Sam Kavusi

“… Abstract BackgroundAccess to screening continues to be a barrier for the early detection of diabetic retinopathy (DR). Primary care–based diabetic retinopathy screening could improve access, but operational challenges, such as cost and workflow management, hamper the widespread adoption of retinal camera systems in primary care clinics in the United States. …”
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Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy by Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian

“…The application of ML to serum TLB data emerges as a promising  methodology for early diagnosis, representing a significant advance for detecting and managing PDAC, envisaging a minimally invasive and more efficient methodology for identifying biomarkers.…”
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Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms by T. Ivanova, T. Ivanova, S. Porchetta, S. Porchetta, S. Buckingham, G. Glabeke, G. Glabeke, J. van Beeck, W. Munters

“…<p>Accurate modeling of wind conditions is vital for the efficient operation and management of wind farms. This study investigates the enhancement of weather simulations by assimilating local offshore light detection and ranging (lidar) and/or supervisory control and data acquisition (SCADA) data into a numerical weather prediction model while considering the presence of neighboring wind farms through wind farm parameterization. …”
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An explainable Machine Learning model for Large-Scale Travelling Ionospheric Disturbances forecasting by Ventriglia Vincenzo, Guerra Marco, Cesaroni Claudio, Spogli Luca, Altadill David, Segarra Antoni, Galkin Ivan, Barta Veronika, Verhulst Tobias G.W., de Paula Víctor, Navas-Portella Víctor, Berényi Kitti A., Belehaki Anna

“…Depending on the operating mode, we report an improvement ranging from +72% to +93% over the performance of a rule-based benchmark. …”
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New insights on physicochemical features and toxicological outcome provided from incineration of nanocomposites by Claire Longuet, Carine Chivas-Joly, Nora Lambeng, Valérie Forest, Lara Leclerc, Gwendoline Sarry, Jérémie Pourchez, José-Marie Lopez-Cuesta

“…The environmental by-products impact on the soil and air have been considered from the point of view of nanoparticles partitioning and the potential toxicological synergistic effects. A specific management of nanocomposites end-of-life should be implemented as recommended by the Organization for Economic Co-operation and Development (OECD) in order to limit nanoparticles dissemination by landfilling and particularly in incineration facilities where their presence is significantly increasing. …”
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First-trimester prediction of early-onset preeclampsia using PAPP-A and mean arterial pressure by Fatma Beyazıt, Eren Pek, Murat Daş, Mehmet Nuri Duran, Dilek Ülker Çakır, Başak Nil Şen, Hasan Ali Kiraz, Deniz Koçyiğit Yılmaz, Ece Ünal Çetin

“… Predicting early-onset preeclampsia (EOP) during the initial stages of pregnancy is essential for effective clinical management and enhancing maternal-fetal outcomes. Current methodologies, which include clinical and demographic risk factors, biophysical parameters, and serum biomarkers, exhibit limited efficacy in predicting EOP. …”
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Aberrant gene-specific DNA methylation signature analysis in cervical cancer by Samatha Bhat, Shama Prasada Kabekkodu, Vinay Koshy Varghese, Sanjiban Chakrabarty, Sandeep P Mallya, Harish Rotti, Deeksha Pandey, Pralhad Kushtagi, Kapaettu Satyamoorthy

“…The global and gene-specific methylation of the panel of genes identified in our study may serve as useful biomarkers for the early detection and clinical management of cervical cancer.…”
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Association between albumin-corrected anion gap and delirium in acute pancreatitis: insights from the MIMIC-IV database by Yuanshuo Ge, Youran Ma, Peng Lv, Junhao Ren, Zhe Wang, Cheng Zhang

“…These findings suggest that ACAG could serve as a practical clinical marker for the early detection and prompt management of delirium in this patient population.…”
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Integrating the A2DS2 Score with 24-Hour ASPECTS and red cell distribution width for enhanced prediction of stroke-associated pneumonia following intravenous thrombolysis: model de... by Sarawut Krongsut, Nat Na-Ek, Atiwat Soontornpun, Niyada Anusasnee

“…Conclusions The combined A2DS2-MFP calculation showed superior performance, enabling early SAP detection and improving survival outcomes. This novel model offers a practical tool for resource-limited settings, supporting better SAP risk stratification and clinical management.…”
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Association of serum uric acid-to-high-density lipoprotein cholesterol ratio with obstructive sleep apnea: a cross-sectional study by Yan Tang, Jiaxin Liu, Junchi Zhang, Yuying Zhu, Jinling Zhou

“…The findings support UHR as a viable biomarker for early detection and risk assessment in patients with OSA. …”
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Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis by Yan Chaosheng, Sun Haowen, Rao Jingjing, Dai Yuanyuan, Duan Wenhui, Sheng Yingyue, Xue Yuzheng

“…Currently, there is no cure for IBD, and its etiology remains unclear. As a result, early detection and diagnosis of IBD pose significant challenges. …”
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Predicting p53 Status in IDH‐Mutant Gliomas Using MRI‐Based Radiomic Model by Jiamin Li, Zhihong Lan, Xiao Zhang, Xiaoyun Liang, Hanwei Chen, Xiangrong Yu

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