Showing 4,421 - 4,440 results of 4,502 for search '"automation"', query time: 0.08s Refine Results
  1. 4421

    Increased Plasma Levels of 8-Hydroxy-2′-deoxyguanosine (8-OHdG) in Patients with Pseudoexfoliation Glaucoma by Altaf A. Kondkar, Tahira Sultan, Taif A. Azad, Lubna Tabussum, Essam A. Osman, Saleh A. Al-Obeidan

    Published 2019-01-01
    “…The assay was performed in duplicate on an automated ELISA analyzer. Two common polymorphisms (rs1048661 and rs3835942) in LOXL1 gene were genotyped by Sanger sequencing. …”
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  2. 4422
  3. 4423

    Validation of a Portable Ionized Calcium Detection Device and Changes in the Ionized-to-Total-Calcium Ratio in the Blood of Postpartum Holstein Cows by Zhongming Cao, Yan Zhao, Bo Zhang, John P. Kastelic, Mengjie Hu, Jia Cheng, Mingchao Liu, Jian Gao

    Published 2025-01-01
    “…In addition, 885 blood samples were collected from 102 dairy cows between calving and 9 days postpartum, with iCa concentrations measured using a Horiba LAQUAtwin Ca-11C and tCa concentrations determined by a fully automated biochemical analyzer. The Horiba LAQUAtwin Ca-11C and Abbott i-STAT 1 had significant consistency in the measurement of ionized calcium concentration in whole blood (the frequency of differences between the measured values was within ±20% of the average, reaching 95.53%), and the measurement results of the two instruments were correlated (Deming regression analysis R<sup>2</sup> = 0.87). …”
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  4. 4424

    Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections by Sambit Tarai, Elin Lundström, Nouman Ahmad, Robin Strand, Håkan Ahlström, Joel Kullberg

    Published 2025-01-01
    “…One significant challenge is the risk for human error, leading to potential omission of especially small tumors and tumors with low FDG uptake.Purpose: In this study, we introduced an automated framework with segmentation prior, from a tissue-wise multi-channel multi-angled based approach, to enhance tumor segmentation in whole-body FDG-PET/CT.Method: The proposed framework utilized a segmentation prior generated from tumor segmentations in tissue-wise multi-channel projections of the standardized uptake value (SUV) from PET. …”
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  5. 4425

    Portable X-ray fluorescence of zinc and selenium with nail clippings-Mother and Infant Nutrition Investigation (MINI). by David E B Fleming, Nelly Madani, Michaela G Kaiser, Jong Sung Kim, Erin Keltie, Natashia Drage, Ying Jin, Jane Coad, Louise Brough

    Published 2024-01-01
    “…XRF results were determined through both an automated system output and an analysis of the X-ray energy spectrum. …”
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  6. 4426

    Social media discourse and internet search queries on cannabis as a medicine: A systematic scoping review. by Christine Mary Hallinan, Sedigheh Khademi Habibabadi, Mike Conway, Yvonne Ann Bonomo

    Published 2023-01-01
    “…Forty-two studies were included in this review, twenty-two studies used manually labelled data, four studies used existing meta-data (Google trends/geo-location data), two studies used data that was manually coded using crowdsourcing services, and two used automated coding supplied by a social media analytics company, fifteen used computational methods for annotating data. …”
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  7. 4427

    Role of Inhibin B and Ratio of Luteinizing: Follicle-Stimulating Hormones in Phenotyping Polycystic Ovarian Syndrome by Zainab G. Falh, Basil O. Saleh, Afraa M. Al Naddawi, Ghada Mohammed

    Published 2024-12-01
    “…Investigations included serum levels of inhibin B using the Enzyme-Linked Immunosorbent Assay technique, follicle Stimulating Hormone, luteinizing Hormone and prolactin using Tosoh AIA-2000 Automated Immunoassay, to calculate the LH/FSH ratio. …”
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  8. 4428

    Establishment and Clinical Application of Rh Blood Group Bank in the East China Region by Jin Y, Fu X, Xie S, Liu Z, Xu Z, Wang M, Wang Y, Lu R, Wang L

    Published 2025-02-01
    “…Yiming Jin,1,&ast; Xiaoyan Fu,2,&ast; Shuhong Xie,3 Zhen Liu,1 Zihao Xu,1 Mingyuan Wang,1 Yihan Wang,1 Rong Lu,1 Lingling Wang1 1Department of Blood Screening Test, Suzhou Blood Center, Suzhou, People’s Republic of China; 2Department of Blood Screening Test, Tai Cang Blood Branch Station, Tai Cang, People’s Republic of China; 3Division of Transfusion Medicine, Suzhou Blood Center, Suzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Lingling Wang; Rong Lu, Department of Blood Screening Test, Suzhou Blood Center, Suzhou, People’s Republic of China, Email linglingwang0716@163.com; cv-25a@163.comPurpose: To investigate the expression and distribution of Rh phenotypes (C, c, D, E, e) among voluntary blood donors in a specific region of East China, to establish a regional Rh phenotype database, and to enhance the precision and efficacy of clinical blood transfusions.Patients and Methods: A total of 28979 blood samples were collected from voluntary donors at a central blood station in East China between May 2023 and December 2023. An automated blood type analyzer was used to determine Rh phenotypes, which were then applied clinically for ABO and Rh blood type-matching in transfusions.Results: Analysis of 28672 RhD-positive donors identified 13 RhD variants and eight Rh phenotypes, with the most common being CCee (42.69%) and CcEe (35.27%). …”
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  9. 4429

    LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection by Hari Mohan Rai, Joon Yoo, Saurabh Agarwal, Neha Agarwal

    Published 2025-01-01
    “…Breast cancer ranks as the second most prevalent cancer globally and is the most frequently diagnosed cancer among women; therefore, early, automated, and precise detection is essential. Most AI-based techniques for breast cancer detection are complex and have high computational costs. …”
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  10. 4430

    Nematocidal Activity of Ethanol and Aqueous Extracts of Persea americana Seeds against Heligmosomoides polygyrus using the Worm Microtracker Method by Yamssi Cédric, Noumedem Anangmo Christelle Nadia, Sandra Nfufu, Mounvera Abdel Azizi, Tientcheu Noutong Jemimah Sandra, Vincent Khan Payne

    Published 2023-01-01
    “…Different concentrations of the extracts were tested against the egg and larvae stages of H. polygyrus using an automated high-throughput method. Briefly, embryonated eggs and larvae of this parasite were obtained after the incubation of fresh eggs at 25°C for 24, 48, and 96 hours for embryonated eggs, L1 and L2 larvae, respectively. …”
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  11. 4431

    Rekayasa E-Aquaculture untuk Pemantauan Tambak Udang secara Realtime dengan Model Multipoint Node by Muhamad Komarudin, Hery Dian Septama, Titin Yulianti, Muhamad Aby Wicaksono

    Published 2021-03-01
    “…The farmer usually, monitor the shrimp pond manually that requires much greater time, effort and cost. The process can be automated with the Internet of Things (IoT) developed in this research. …”
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  12. 4432

    An Intelligent System for Classifying Patient Complaints Using Machine Learning and Natural Language Processing: Development and Validation Study by Xiadong Li, Qiang Shu, Canhong Kong, Jinhu Wang, Gang Li, Xin Fang, Xiaomin Lou, Gang Yu

    Published 2025-01-01
    “…Thus, there is a growing demand for advanced and automated approaches to streamline the classification process. …”
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  13. 4433

    Utilisation des systèmes de test ALDM dans le cadre de l'étude des réseaux sociaux du babouin de Guinée by Julie Gullstrand, Joël Fagot, Nicolas Claldière

    Published 2015-03-01
    “…Le dispositif ALDM (Automated Learning Device for Monkeys) est un réseau de systèmes de conditionnement opérant, mis en libre accès, à la disposition d'un groupe de babouins de Guinée ("Papio papio") hébergé sur la plateforme Cognition Comparée du Primate (CCDP- site de la station de primatologie de Rousset). …”
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  14. 4434

    Identifying the Latitude and Longitude of ATMs in ATM Networks by Niloofar Haghjoo, Mohammad rahmati, Ali Zare Mirakabad

    Published 2024-06-01
    “…Objective The geographical positioning of Automated Teller Machines (ATMs) is a pivotal data point that significantly aids in the analytical process and decision-making for a multitude of critical banking and economic determinations. …”
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  15. 4435

    Acoustic visualization of scleral outflow after surgical scleral resection by A.Yu. Kazantzeva, E.A. Korchuganova

    Published 2024-06-01
    “…Eye examinations included biomicroophthalmoscopy, visual acuity measurement, IOP measurement using a Maklakov applanation tonometer, automated perimetry, tonography, and UBM. UBM was employed to evaluate the acoustic signs of new surgical filtering areas, namely the intrascleral space and filtering bleb (FB) height. …”
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  16. 4436

    Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

    Published 2025-01-01
    “…This study focused on the accuracy of automated systems for extracting tumor size, location, and laterality from clinical reports. …”
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  17. 4437

    Hubungan Nilai Hematokrit Terhadap Jumlah Trombosit pada Penderita Demam Berdarah Dengue by Amrina Rasyada, Ellyza Nasrul, Zulkarnain Edward

    Published 2014-09-01
    “…Data was taken from the Installation of Medical Record is the value of hematocrit and platelet, then data were examined using automated tools Pentra-60. Then the data were analyzed using the Spearman correlation test. …”
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  18. 4438

    Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study by Emma Holler, Christina Ludema, Zina Ben Miled, Molly Rosenberg, Corey Kalbaugh, Malaz Boustani, Sanjay Mohanty

    Published 2025-01-01
    “…The proposed models could be used as a scalable, automated screening tool to identify patients at high risk of POD at the time of hospital admission.…”
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  19. 4439
  20. 4440

    cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

    Published 2025-02-01
    “…Data-driven deep-learning approaches are highly promising for automating the seismic facies classification with high efficiency and accuracy, as they have already achieved significant success in similar image classification tasks within the field of computer vision (CV). …”
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