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Characterization of Primate Antibody Responses to Administered Murine Monoclonal Immunoglobulin

D.E. Milenic, B. Detrick, J.C. Reynolds, D. Colcher • The International Journal of Biological Markers (1990)

Murine monoclonal antibodies (MAb) are currently being assessed for their utility as tools in cancer management. Anti-murine immunoglobulin responses have been observed in many patients receiving monoclonal antibody treatment. In this study...

DOAJ Open Access (DOAJ) DOI: 10.1177/172460089000500403

Draft genome sequences of two hypermucoviscous carbapenem-resistant ST25 Klebsiella pneumoniae strains causing respiratory and systemic infections

María Angela Jure, Leonardo Albarracin, Juan Martin Vargas, Stefania Dentice Maidana et al. • Journal of Global Antimicrobial Resistance (2021)

ABSTRACT: Objectives: The emergence and spread of hypermucoviscous KPC-2-producing Klebsiella pneumoniae strains belonging to the sequence type 25 (ST25) clone was reported recently in Northwest Argentina as a leading cause of nosocomial in...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jgar.2021.05.018

Predicting Microbial Protein Synthesis in Cattle: Evaluation of Extant Equations and Steps Needed to Improve Accuracy and Precision of Future Equations

Michael L. Galyean, Luis O. Tedeschi • Animals (2024)

Predictions of microbial crude protein (MCP) synthesis for beef cattle generally rely on empirical regression equations, with intakes of energy and protein as key variables. Using a database from published literature, we developed new equat...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani14192903

Vape Smoking: Prevalence and Perception among Damnhour University Students

Naglaa Hussein • International Egyptian Journal of Nursing Sciences and Research (2025)

Background: E-cigarette or vape smoking is becoming a worldwide concern, yet vapinginformation is not widespread among Middle Eastern university students. The paper offers the pattern ofvape smoking in Damnhour University, Egypt, which uses...

DOAJ Open Access (DOAJ) DOI: 10.21608/ejnsr.2025.370486.1434

The effect of science centres on perceptions of secondary school students towards the nature of science

Hacer Efe, Ünsal Umdu Topsakal • South African Journal of Education (2022)

In the study reported on here, the effects of science centres on the perceptions of secondary school students towards the nature of science were examined. The study group consisted of 16 students aged 13 and 14 of which 7 were female and 9 ...

DOAJ Open Access (DOAJ) DOI: 10.15700/saje.v42n2a2017

Understanding Customers' Opinion using Web Scraping and Natural Language Processing

Alin-Gabriel Vaduva, Simona-Vasilica Oprea, Dragos-Catalin Barbu • Ovidius University Annals: Economic Sciences Series (2023)

The web offers large volumes of data that is unstructured and fails to be further processed if not extracted and organized into local variables or into databases. In this paper, we aim to extract data from the Internet using web scraping ...

DOAJ Open Access (DOAJ)

Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting

Giovanni Morone, Giovanni Morone, Luigi De Angelis, Luigi De Angelis et al. • Frontiers in Digital Health (2025)

Medicine has become increasingly receptive to the use of artificial intelligence (AI). This overview of systematic reviews (SRs) aims to categorise current evidence about it and identify the current methodological state of the art in the fi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1550731

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health (2022)

BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2022.850619

Applications of natural language processing and large language models in materials discovery

Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang et al. • npj Computational Materials (2025)

The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems. By leveraging well-characterized datasets derived from the scientific literature, AI-powered too...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1038/s41524-025-01554-0

Applied Natural Language Processing

Martin Hassel, Hercules Dalianis • IGI Global eBooks (2011)

Today, with digitally stored information available in abundance, even for many less commonly spoken languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one su...

OPENALEX public-domain DOI: https://doi.org/10.4018/978-1-60960-741-8

AI-generated draft replies to patient messages: exploring effects of implementation

Charlotte M. H. H. T. Bootsma-Robroeks, Charlotte M. H. H. T. Bootsma-Robroeks, Jessica D. Workum, Jessica D. Workum et al. • Frontiers in Digital Health (2025)

IntroductionThe integration of Large Language Models (LLMs) in Electronic Health Records (EHRs) has the potential to reduce administrative burden. Validating these tools in real-world clinical settings is essential for responsible implement...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1588143

Natural Language Processing for Policymaking

Zhijing Jin, Rada F. Mihalcea • Springer eBooks (2022)

Abstract Language is the medium for many political activities, from campaigns to news reports. Natural language processing (NLP) uses computational tools to parse text into key information that is needed for policymaking. In this chapter, w...

OPENALEX cc-by DOI: https://doi.org/10.1007/978-3-031-16624-2_7

Natural language processing in information retrieval

Tamas E. Doszkocs • Journal of the American Society for Information Science (1986)

The role and contributions of natural-language processing in information-retrieval and artificial-intelligence research is examined in the context of large operational information-retrieval systems and services. State-of-the-art information...

OPENALEX DOI: https://doi.org/10.1002/(sici)1097-4571(198607)37:4<191::aid-asi3>3.0.co;2-y

NATURAL LANGUAGE PROCESSING IN HEALTHCARE

Matthew N. O. Sadiku, Yu Zhou, Sarhan M. Musa • International Journal of Advanced Research in Computer Science and Software Engineering (2018)

Natural language processing (NLP) refers to the process of using of computer algorithms to identify key elements in everyday language and extract meaning from unstructured spoken or written communication. Healthcare is the biggest user of t...

OPENALEX DOI: https://doi.org/10.23956/ijarcsse.v8i5.626

Economic Activity Forecasting Based on the Sentiment Analysis of News

Mantas Lukauskas, Vaida Pilinkienė, Jurgita Bruneckienė, Alina Stundžienė et al. • Mathematics (2022)

The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time monitoring of economic activity. The economic activity of a country can be defined in different ways. Most often, the country’s economic act...

DOAJ Open Access (DOAJ) DOI: 10.3390/math10193461

Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca et al. • Journal of Medical Internet Research (2020)

BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides ...

OPENALEX cc-by DOI: https://doi.org/10.2196/15708 PMC: 8132982