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Molecular Informatics, Chemometrics, and Sensory Omics for Constructing an Umami Peptide Cluster Library Across the Entire Lager Beer Brewing Process

Yashuai Wu, Ruiyang Yin, Wenjing Tian, Wanqiu Zhao et al. • Foods (2026)

Umami taste in lager beer not only determined body fullness and the backbone of aftertaste, but also affected the controllability and interpretability of flavor expression across the entire brewing process. Based on stage-wise sampling, pep...

DOAJ Open Access (DOAJ) DOI: 10.3390/foods15040641

SARS and Population Health Technology

Günther Eysenbach • Journal of Medical Internet Research (2003)

The recent global outbreak of SARS (severe acute respiratory syndrome) provides an opportunity to study the use and impact of public health informatics and population health technology to detect and fight a global epidemic. Population healt...

OPENALEX cc-by DOI: https://doi.org/10.2196/jmir.5.2.e14 PMC: 1550560

Health Technologies 'In the Wild'

Stefan Rennick‐Egglestone, Sarah E. Knowles, Gill R. Toms, Penny Bee et al. • CHI Conference on Human Factors in Computing Systems (2016)

The widespread deployment of technology by professional health services will provide a substantial opportunity for studies that consider usage in naturalistic settings. Our study has documented experiences of engaging with technologies inte...

OPENALEX Open Access DOI: https://doi.org/10.1145/2858036.2858128

Detection of causative agents of bacterial pneumonia in hospitalized hajj and umrah cases by multiplex real-time polymerase chain reaction

Vivi Setiawaty, Dini Darmawati, Arie Ardiansyah Nugraha, Pancrasia Maria Hendrati • Iranian Journal of Microbiology (2022)

Background and Objectives: Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is commonly detected in pneumonia patients who travel from the Middle East regions. Besides MERS-CoV, many other pathogenic agents cause pneumonia. Detection...

DOAJ Open Access (DOAJ)

The Colorectal Cancer Screening Programme in the Basque Country: obtaining a good performance by means of professional collaboration

Isabel Portillo, Isabel Idigoras, Isabel Bilbao, Jose Luis Hurtado et al. • International Journal of Integrated Care (2019)

Introduction: The Basque Health Service approved the Colorectal Cancer (CRC) screening programme in 2008; targeted at residents (50 to 69 years old) estimated 598,201 by biennial faecal immunochemical test (FIT) and colonoscopy in positive ...

DOAJ Open Access (DOAJ) DOI: 10.5334/ijic.s3166

Remote Consultations in England During COVID-19: Challenges in Data Quality, Linkage, and Research Validity

Liliana Hidalgo-Padilla, Massar Dabbous, Kristoffer Halvorsrud, Thomas Beaney et al. • Online Journal of Public Health Informatics (2025)

AbstractThe COVID-19 pandemic accelerated the adoption of remote consultations across health care, requiring rapid adjustments in service delivery. Consequently, there is an urgent need to understand the impact of remote consultations on he...

DOAJ Open Access (DOAJ) DOI: 10.2196/66672

Full-thickness skin graft versus split-thickness skin graft for radial forearm free flap donor site closure: protocol for a systematic review and meta-analysis

Jasper J.E. Moors, Zhibin Xu, Kunpeng Xie, Ashkan Rashad et al. • Systematic Reviews (2024)

Abstract Background The radial forearm free flap (RFFF) serves as a workhorse for a variety of reconstructions. Although there are a variety of surgical techniques for donor site closure after RFFF raising, the most common techniques are cl...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13643-024-02471-x

Exploring barriers and enablers to implementing a digital mental health crisis risk mitigation pathway in acute paediatric care: A multi-site, exploratory mixed-methods study

Takawira C Marufu, Jane Coad, Zaki Albelbisi, Tim Carter et al. • Digital Health (2026)

Objective Children and young people (CYP) presenting in mental health crisis to acute paediatric settings represent a growing clinical and system-level challenge. These environments, primarily designed for physical healthcare, frequently la...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261431890

Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis

Hamidreza Amiri, Samira Peiravi, Seyedeh sara rezazadeh shojaee, Motahareh Rouhparvarzamin et al. • BMC Medical Education (2024)

Abstract Background Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthalmology. Des...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12909-024-05406-1

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478

Health and Medical Informatics Education

Reinhold Haux, Franz Josef Leven, Jochen R. Moehr, Denis J. Protti • Methods of Information in Medicine (1994)

Health and medical informatics education has meanwhile gained considerable importance for medicine and for health care. Specialized programs in health/medical informatics have therefore been established within the last decades. This special...

OPENALEX DOI: https://doi.org/10.1055/s-0038-1635023

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

Comparative assessment of patient education content generated by five large language models on post-stroke complications: A cross-sectional study of safety, accuracy, reliability, readability, and empathy

Long-Xian Liu, Huan-Huan Wang, Shuang Lu, Guo Yu et al. • Digital Health (2026)

Objective To compare the safety, accuracy, reliability, readability, and empathy of patient education content generated by five large language models (LLMs) for post-stroke complications. Methods This CHART-guided cross-sectional comparativ...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261493266

Isolation, characterisation and antibiotic susceptibility of staphylococcal isolates with special reference to methicillin-resistant Staphylococcus aureus from the anterior nares of healthcare workers in A tertiary healthcare centre

Chaurasia Mukul, Agrawa Neha, Chourasia Ankita, Bhatnagar Monica et al. • Scripta Medica (2021)

Background: Staphylococcus aureus (S. aureus) and its resistant form methicillinresistant S. aureus (MRSA) is one of the most common nosocomial pathogens causing a wide range of infections in humans. The anterior nares are the main ecologic...

DOAJ Open Access (DOAJ) DOI: 10.5937/scriptamed52-31190