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Showing 20 of 3,336 academic articles

Formative qualitative research on the potential for digital solutions to address diabetes care gaps in Tanzania and Sri Lanka

Ishu Kataria, Kaushik Ramaiya, Omary Ubuguyu, Sumithra Krishnamurthy Reddiar et al. • BMJ Open (2024)

Objectives Diabetes care remains unavailable and unaffordable for many people. Adapting models of care to low-income and middle-income country contexts is a priority. Digital technology offers substantial potential yet must surmount health ...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2023-078845

Health technology and health technology assessment

Konrad Obermann, Christian Thielscher • Medical economics (2021)

In addition to the doctor, technology is an essential aspect of healthcare. In many parts of the world, a visit to the doctor does not feel complete without a prescription for a drug. Advanced laboratory and imaging technology is indispensa...

OPENALEX DOI: https://doi.org/10.1017/9781788211918.015

Effect of Interactive eHealth Interventions on Improving Medication Adherence in Adults With Long-Term Medication: Systematic Review

Pouls, Bart P H, Vriezekolk, Johanna E, Bekker, Charlotte L, Linn, Annemiek J et al. • Journal of Medical Internet Research (2021)

BackgroundMedication nonadherence leads to suboptimal treatment outcomes, making it a major priority in health care. eHealth provides an opportunity to offer medication adherence interventions with minimal effort from health care providers ...

DOAJ Open Access (DOAJ) DOI: 10.2196/18901

Oh brother, where art tau? Amyloid, neurodegeneration, and cognitive decline without elevated tau

Lauren E. McCollum, Sandhitsu R. Das, Long Xie, Robin de Flores et al. • NeuroImage: Clinical (2021)

Mild cognitive impairment (MCI) can be an early manifestation of Alzheimer’s disease (AD) pathology, other pathologic entities [e.g., cerebrovascular disease, Lewy body disease, LATE (limbic-predominant age-related TDP-43 encephalopathy)], ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102717

A noncanonical AR addiction drives enzalutamide resistance in prostate cancer

Yundong He, Ting Wei, Zhenqing Ye, Jacob J. Orme et al. • Nature Communications (2021)

Resistance to second generation anti-androgen therapies such as enzalutamide (ENZ) can emerge in prostate cancer patients. Here, the authors identify an ENZ-resistant mechanism driven by AR-dependent transcription of noncanonical targets th...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-021-21860-7

Population dataset for 23 Y-STR in the Merkit clan form Kazakh population

Bekzhan Faizov, Alizhan Bukayev, Zhaxylyk Sabitov, Maxat Zhabagin • Data in Brief (2024)

This study presents a comprehensive analysis of 23 Y-STR data for the Merkit clan, a subgroup within the Kerey tribe of the Kazakh people. A total of 64 complete haplotypes were generated using the PowerPlex Y23 System. The data obtained us...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2024.110160

Disrupted Functional Connectivity of Cornu Ammonis Subregions in Amnestic Mild Cognitive Impairment: A Longitudinal Resting-State fMRI Study

Hui Li, Hui Li, Xiuqin Jia, Xiuqin Jia et al. • Frontiers in Human Neuroscience (2018)

Background: The cornu ammonis (CA), as part of the hippocampal formation, represents a primary target region of neural degeneration in amnestic mild cognitive impairment (aMCI). Previous studies have revealed subtle structural deficits of t...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnhum.2018.00413

Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claims

Jamieson D Gray, Lukasz S Wylezinski, Charles F Spurlock • BMJ Health & Care Informatics (2026)

Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101761

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

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

Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature

Andy Wai Kan Yeung, Anela Tosevska, Elisabeth Klager, Fabian Eibensteiner et al. • Journal of Medical Internet Research (2022)

BackgroundSocial media has been extensively used for the communication of health-related information and consecutively for the potential spread of medical misinformation. Conventional systematic reviews have been published on this topic to ...

DOAJ Open Access (DOAJ) DOI: 10.2196/28152

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

Evaluation of pragmatic oxygenation measurement as a proxy for Covid-19 severity

Maaike C. Swets, Steven Kerr, James Scott-Brown, Adam B. Brown et al. • Nature Communications (2023)

Abstract Choosing optimal outcome measures maximizes statistical power, accelerates discovery and improves reliability in early-phase trials. We devised and evaluated a modification to a pragmatic measure of oxygenation function, the $$S/F$...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-023-42205-6

Data Mining Techniques in Medical Informatics

U. Rajendra Acharya, Wenwei Yu • The Open Medical Informatics Journal (2010)

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

OPENALEX cc-by-nc DOI: https://doi.org/10.2174/1874431101004010021 PMC: 2916206

Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review

Carina Nina Vorisek, Moritz Lehne, Sophie Anne Ines Klopfenstein, Paula Josephine Mayer et al. • JMIR Medical Informatics (2022)

BackgroundThe standard Fast Healthcare Interoperability Resources (FHIR) is widely used in health information technology. However, its use as a standard for health research is still less prevalent. To use existing data sources more efficien...

DOAJ Open Access (DOAJ) DOI: 10.2196/35724

Digital quality gradient and the burden of elderly depression: A spatial multi kernel SVR analysis of socio economically vulnerable groups in England

Jin Rui, Yijing Li, Hector D. Menendez, Mariana Pinto da Costa • Digital Health (2026)

Digital infrastructure is increasingly understood as part of the contemporary built environment and as a policy-relevant area-level correlate of older adults’ mental health. Existing studies have often relied on linear models and have paid ...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261465140

Challenges and conditions for successfully implementing and adopting the telematics infrastructure in German outpatient healthcare: A qualitative study applying the NASSS framework

Kim Nordmann, Stefanie Sauter, Marie-Christin Redlich, Patricia Möbius-Lerch et al. • Digital Health (2024)

Background Germany's healthcare system provides high-quality, universal health coverage to almost all residents. However, a major challenge lies in the strong separation of healthcare structures, which hinders efficient interprofessional an...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241259855