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Showing 1 - 20 results of 223 for search 'cost pathogen (integration OR interventions)', query time: 0.15s Refine Results
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    A Label-Free CRISPR/Cas12a-G4 Biosensor Integrated with FTA Card for Detection of Foodborne Pathogens by Anqi Chao, Qinqin Hu, Kun Yin

    Published 2025-04-01
    “…Its simplicity, minimal equipment (portable heating/imaging), and cost-effectiveness make it a revolutionary tool for detecting foodborne pathogens in resource-limited environments.…”
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    Mathematical assessment of the optimal intervention strategy for Cercospora fungal disease in orange plants by Omowumi Fatimah Lawal, Anthony Kodzo Hunkpe, Afeez Abidemi, Pius Olanrewaju Ogunjobi

    Published 2025-06-01
    “…Cercospora fragariae is a fungal plant pathogen. Citrus trees and shrubs are particularly vulnerable to Cercospora infections, which can result in significant crop losses. …”
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    A Smart Semi‐Implantable Device Integrating Microchannel‐Enhanced Sampling and Multiplex Biochemical Testing for Deep Wound Monitoring and Pathogen Identification by Qilin Li, Chunyu Wei, Luming Xu, Jiao Zhang, Yuyu Li, Xiaohuan Lu, Rengui Xu, Honglian Guo, Peng Cao, Chenke Ouyang, Jiarong Xu, Wei Chen, Zheng Wang, Lin Wang

    Published 2025-02-01
    “…The device's capability to rapidly and accurately identify pathogenic bacteria is also demonstrated both in vitro and in vivo, potentially facilitating precise intervention in infected wounds. …”
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    Managing fungal pathogens of field crops in sustainable agriculture and AgroVariety internet application as a case study by Elżbieta Czembor, Anna Tratwal, Juliusz Pukacki, Marcin Krystek, Jerzy Henryk Czembor

    “…To illustrate the practical application of these principles, the AgroVariety application (app), developed for farmers, was used to discuss the role of specialized applications in decision-making for environmentally friendly and cost-effective plant production. This tool emphasizes combining different IPM techniques, with specific emphasis on methods that are least harmful to the environment and tailored to control particular pathogens.…”
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    Cervids as a Promising Pillar of an Integrated Surveillance System for Emerging Infectious Diseases in Hungary: A Pilot Study by István Lakatos, Péter Malik, Kornélia Bodó, Zsuzsanna Szőke, Farkas Sükösd, Zsófia Lanszki, László Szemethy, Kornélia Kurucz, Krisztián Bányai, Gábor Kemenesi, Brigitta Zana

    Published 2025-07-01
    “…While the study’s design precludes statistical analysis due to non-random sampling, it demonstrates the potential of integrating wild ungulate serosurveillance into disease monitoring programs, leveraging established wildlife management activities for a cost-effective and complementary approach to One Health surveillance, particularly considering the ongoing spread of EHDV in Europe and the importance of BTV serotype monitoring for effective vaccination strategies.…”
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    Prevalence and penetrance of pathogenic and likely pathogenic LDLR and APOB gene variants linked to familial hypercholesterolemia and increased risk of ischemic heart disease by I. K. Dzhumaniiazova, A. N. Meshkov, A. N. Meshkov, V.V. Daniel, M. V. Ezhov, E. A. Zelenova, U. V. Chubykina, D.A. Kashtanova, M. V. Ivanov, L. R. Matkava, O. I. Blinova, N. A. Kumar, A. Y. Fedorov, H. U. Ibragimova, T. A. Lavrikova, Y. O. Aksenova, T. M. Gurciev, N. V. Gomyranova, Y. S. Vorobeva, Z. B. Hasanova, V. S. Yudin, V. V. Makarov, A. A. Keskinov, S. A. Kraevoy, S. A. Boytsov, S. M. Yudin, V. I. Skvortsova

    Published 2025-08-01
    “…Such informed screening would facilitate early identification of at-risk individuals, enabling timely intervention and management.MethodsWe analyzed genetic data from 4,856 individuals with various cardiovascular conditions for pathogenic and likely pathogenic variants in the PCSK9, APOB, and LDLR genes. …”
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    Optimising Wastewater Sample Processing for Multiple Pathogen Detection by Miss Shannon Fitz, Debora Akortia, Richard Larbi, Richard Owusu, Gifty Nkrumah, Dr Joyce Akello, Catherine Troman, Dr Jaspreet Mahindroo, Dr Anton Spader, Dr Ben Bellekom, Piya Rajendra, Professor Yaw Adu-Sarkodie, Dr Ellis Owusu-Dabo, Dr Nicholas Grassly, Dr Dilip Abraham, Professor Venkata Raghava Mohan, Dr Michael Owusu, Dr Alex Shaw

    Published 2025-03-01
    “…Expected Outcome: This study aims to provide proof of principle data for cost effective surveillance of multiple pathogens in LMICs with the development of streamlined, integrated protocols. …”
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    Electrochemical genosensors on-a-chip: Applications in early diagnosis of pathogens by A. Dehghan, M.J. Kiani, A. Gholizadeh, J. Aminizadeh, A. Rahi, I. Zare, E. Pishbin, H. Heli

    Published 2025-06-01
    “…Electrochemical genosensors have emerged as a powerful tool for the early diagnosis of pathogens, offering advantages such as high sensitivity, rapid response times, low cost, and easy adaptability for point-of-care applications. …”
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    Paper-based analytical devices for smart foodborne pathogen detection by Hadeer M. Bedair, Mohamed Emara, Tamer M. Samir, Mahmoud A.F. Khalil, Shima Mahmoud Ali, Mahmoud Hamed, Fotouh R. Mansour

    Published 2025-12-01
    “…This review explores the advancements in paper-based analytical devices (PADs) as a practical, cost-effective, and portable solution for the detection of foodborne pathogens. …”
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    Antibiotics’ collateral effects on the gut microbiota in the selection of ESKAPE pathogens by Baharak Babouee Flury, Diego Andrey, Philipp Kohler

    Published 2024-11-01
    “…Background: ESKAPE pathogens, consisting of Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp., labelled high-priority by WHO, evade antibiotics, posing treatment challenges and escalating healthcare costs. …”
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    Antimicrobial resistance in foodborne pathogens: consequences for public health and future approaches by Pooja Chavan, Rahul Vashishth

    Published 2025-06-01
    “…Abstract Foodborne pathogen-associated antimicrobial resistance (AMR) is a major global public health concern, complicating infection control and placing another strain on medical resources. …”
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    Utilizing Environmentally Friendly Techniques for the Sustainable Control of Plant Pathogens: A Review by Maria Alexandra Cucu, Ravish Choudhary, Vojislav Trkulja, Shivani Garg, Slavica Matić

    Published 2025-06-01
    “…Additionally, practices such as mulching, soil solarization, and water management optimize environmental conditions to limit the development and spread of pathogens. These techniques also contribute to integrated pest management by providing sustainable, cost-effective solutions that reduce chemical dependency and mitigate climate change and other environmental impacts. …”
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    Graphene–Bacteriophage Hybrid Nanomaterials for Specific and Rapid Electrochemical Detection of Pathogenic Bacteria by José M. Campiña, António F. Silva, Carlos M. Pereira

    Published 2025-07-01
    “…Recently, electrochemical biosensors integrating graphene nanomaterials with bacteriophages—termed graphages—have emerged as promising platforms for pathogen detection, offering fast, specific, and highly responsive detection. …”
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    Optical and Electrochemical Biosensors for Detection of Pathogens Using Metal Nanoclusters: A Systematic Review by Mahsa Shahrashoob, Mahdiyar Dehshiri, Vahid Yousefi, Mahdi Moassesfar, Hamidreza Saberi, Fatemeh Molaabasi, Yasser Zare, Kyong Yop Rhee

    Published 2025-07-01
    “…The literature demonstrates that MNC-based biosensors provide high sensitivity, specificity, portability, and cost-efficiency. Moreover, the integration of nanotechnology with biosensing platforms enables real-time and point-of-care diagnostics. …”
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    Fungi-Kcr: a language model for predicting lysine crotonylation in pathogenic fungal proteins by Yong-Zi Chen, Yong-Zi Chen, Xiaofeng Wang, Zhuo-Zhi Wang, Haixin Li, Haixin Li

    Published 2025-07-01
    “…IntroductionLysine crotonylation (Kcr) is an important post-translational modification (PTM) of proteins, playing a key role in regulating various biological processes in pathogenic fungi. However, the experimental identification of Kcr sites remains challenging due to the high cost and time-consuming nature of mass spectrometry-based techniques.MethodsTo address this limitation, we developed Fungi-Kcr, a deep learning-based model designed to predict Kcr modification sites in fungal proteins. …”
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