Showing 3,681 - 3,700 results of 4,968 for search 'data set detection', query time: 0.18s Refine Results
  1. 3681

    Antibiotic residues and heavy metals in blue crabs (<i>Callinectes sapidus</i>) fished in the Mediterranean Sea: a preliminary study by Alessio Manfredi, Patrizio Lorusso, Annamaria Pandiscia, Elisabetta Bonerba, Edmondo Ceci, Giancarlo Bozzo, Domenico Cristofaro, Valentina Terio

    Published 2025-04-01
    “…In all samples, lead was never detected, while cadmium and mercury concentrations never exceeded the limit of 0.5 mg/kg set by Regulation (EU) 2023/915. …”
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  2. 3682

    Development and validation of liquid–liquid phase separation-associated prognostic biomarkers in gastric cancer by Donghui Liu, Mingzhu Liu, Juan Du

    Published 2025-05-01
    “…Methods LLPS-associated genes, gene expression profiles and clinical data for GC were sourced from public databases. Differential expression analysis, UpSetR package, and Cox regression analyses were employed to pinpoint LLPS-related biomarkers. …”
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    Article
  3. 3683

    Identification of cell proliferation, immune response and cell migration as critical pathways in a prognostic signature for HER2+:ERα- breast cancer. by Jeffrey C Liu, Miriam Zacksenhouse, Andrea Eisen, Sharon Nofech-Mozes, Eldad Zacksenhaus

    Published 2017-01-01
    “…<h4>Methods</h4>We used Leave-One Out, Data Combination Test, Gene Set Enrichment Analysis (GSEA), Correlation and Substitution analyses together with Receiver Operating Characteristic (ROC) and Kaplan-Meier survival analysis to identify critical biological pathways within HTICS. …”
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  4. 3684
  5. 3685

    Seroprevalence of HIV, HBV, HCV and Syphilis among blood donors in a Nigerian tertiary medical centre by Ismail Habibu, Bashir Mohammed Abubakar, Ibrahim Musa Moi, Rabiu Abdulrazaq

    Published 2025-04-01
    “…The univariate and multivariate logistic regression tests were employed to detect associated risk factors, with a significance level set at P < 0.05. …”
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    Article
  6. 3686
  7. 3687

    AI approaches for phenotyping Alzheimer's disease and related dementias using electronic health records by Sara Knox, Stephanie Aghamoosa, Paul M. Heider, Maxwell Cutty, Andrew Wright, Dmitry Scherbakov, Gabriel Hood, Sara A. Nolin, Jihad S. Obeid

    Published 2025-04-01
    “…DISCUSSION These findings highlight the potential of AI‐based text‐classification methods to optimize the automated identification of patients with ADRD using rich EHR data. However, the success of this approach depends on the quality of clinical notes, and more work is needed to refine and validate these methods across more diverse data sets. …”
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    Article
  8. 3688

    Immune profiling of uveal melanoma identifies a potential signature associated with response to immunotherapy by Wei-Lien Wang, Bita Esmaeli, Patrick Hwu, Alexandre Reuben, Michael T Tetzlaff, Jason Roszik, Mariana Petaccia De Macedo, Yong Qin, Kathryn Bollin, Fernando Carapeto, Kevin B Kim, Khalida M Wani, Sujan T Reddy, Michelle D Williams, Dan S Gombos, Alexander J Lazar, Sapna P Patel

    Published 2020-10-01
    “…The immune signature of UM tumors responding to immunotherapy was further characterized by Ingenuity Pathways Analysis and validated in The Cancer Genome Atlas data set.Results Both primary and metastatic UM tumors showed detectable infiltrating lymphocytes. …”
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    Article
  9. 3689
  10. 3690

    Advanced Microfluidic‐Based Wearable Electrochemical Sensors for Continuous Biochemical Monitoring by Sehyun Park, Seongyeop Kim, Soojin Lee, Vladimir V. Tsukruk, SeungHyun Park, Hyo‐Ryoung Lim

    Published 2025-07-01
    “…The application section summarizes strategies to overcome variability in biofluid composition, sensor drift, and user adaptability through innovative solutions such as hybrid material integration, self‐powered systems, and AI‐assisted data analysis. By analyzing recent breakthroughs, this paper outlines critical pathways for expanding wearable sensor technologies and achieving seamless operation in diverse real‐world settings, paving the way for a new era of digital health.…”
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  11. 3691

    A Linear Decomposition Method to Analyze and Study Pulsar Mode Changes by Longfei Hao, Zhixuan Li, Faxin Shen, Yonghua Xu, Yuxiang Huang, Kejia Lee, Qingzheng Yu, Hongguang Wang

    Published 2025-01-01
    “…We show that the method is similar to the principal component analysis, but the LDM can handle more general situations. We use a simulated data set and data from the Kunming 40 m radio telescope to demonstrate the application of the LDM. …”
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    Article
  12. 3692

    An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning by Usman Ali, Umer Ramzan, Waqas Ali, Khaled Ali Al-Jaafari

    Published 2025-01-01
    “…Early detection of faults in induction motors is crucial for ensuring uninterrupted operations in industrial settings. …”
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  13. 3693

    Advancements and challenges of artificial intelligence in dermatology: a review of applications and perspectives in China by Jiaao Yu, Io Hong Cheong, Zisis Kozlakidis, Hui Wang

    Published 2025-08-01
    “…Despite the promising results of AI in experimental settings, we recognize the limitations of these public datasets in representing clinical scenarios in China. …”
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  14. 3694

    Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

    Published 2025-06-01
    “…However, the complexity of neuroimaging data presents significant obstacles to accurate classification. …”
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  15. 3695

    Implantable Biosensors for Vascular Diseases: Directions for the Next Generation of Active Diagnostic and Therapeutic Medical Device Technologies by Ali Mana Alyami, Mahmut Talha Kirimi, Steven L. Neale, John R. Mercer

    Published 2025-02-01
    “…Biosensors that allow real-time vascular monitoring will provide early detection and warning of pathological cell growth. …”
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  16. 3696

    Deep learning analysis for rheumatologic imaging: current trends, future directions, and the role of human by Jucheol Moon, Pratik Jadhav, Sangtae Choi

    Published 2025-04-01
    “…Despite the promise of DL, challenges such as data bias, limited explainability, and the need for large annotated datasets remain significant barriers to its widespread adoption. …”
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  17. 3697

    Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms by Bryan Gonzalez, Gonzalo Garcia, Sergio A. Velastin, Hamid GholamHosseini, Lino Tejeda, Gonzalo Farias

    Published 2024-11-01
    “…The approach utilized the YOLO architecture, a widely recognized deep learning model for object detection and computer vision. The model is trained on labeled image data, and its performance is assessed using a precision–recall curve at a confidence threshold of 0.5, achieving a mean average precision (mAP) of 0.873, indicating robust overall performance. …”
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  18. 3698

    Endoscopic band ligation versus hot snare resection for hyperplastic gastric polyps in cirrhotic patients by Maha Elsabaawy, Osama Elbahr, Ahmed Edrees, Reda Badr, Ahmed Kamal, Sameh Afify

    Published 2024-03-01
    “…Despite being the standard technique for resection of GHPs, hot snare polypectomy (HSP) is risky in the setting of coagulation disorders associated with liver cirrhosis. …”
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  19. 3699

    Bacteria and yeasts of nosocomial importance in a radiology department in an academic hospital by Rodger P. Osmond, Susan Lucas, Rispah N. Chomba

    Published 2025-04-01
    “…However, there is a lack of relevant data from the South African setting. Objectives: The study aimed to determine deficiencies in infection control practices and the microbial colonisation rates and resistance profiles of devices within a radiology department. …”
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  20. 3700

    Mutation Scanning in Wheat by Exon Capture and Next-Generation Sequencing. by Robert King, Nicholas Bird, Ricardo Ramirez-Gonzalez, Jane A Coghill, Archana Patil, Keywan Hassani-Pak, Cristobal Uauy, Andrew L Phillips

    Published 2015-01-01
    “…After testing different mapping algorithms and settings, candidate SNPs were identified by mapping to the IWGSC wheat Chromosome Survey Sequences. …”
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