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Showing 20 of 1,679 academic articles

Development and usability of VRainSUD’s cognitive training virtual reality platform for substance use disorders

Tânia Caetano, Maria Salomé Pinho, Hugo Freire, Dany Mota et al. • Scientific Reports (2025)

Abstract Cognitive deficits have been shown to increase the likelihood of relapse in individuals with substance use disorders (SUD). As such, cognitive training programs are important interventions for this population. In this study, we des...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-00922-6

Combination of Antimicrobial Starters for Feed Fermentation: Influence on Piglet Feces Microbiota and Health and Growth Performance, Including Mycotoxin Biotransformation in vivo

Laurynas Vadopalas, Modestas Ruzauskas, Modestas Ruzauskas, Vita Lele et al. • Frontiers in Veterinary Science (2020)

The aim of this study was to apply a combination of the microbial starters Lactobacillus uvarum LUHS245, Lactobacillus casei LUHS210, Pediococcus acidilactici LUHS29, and Pediococcus pentosaceus LUHS183 for feed fermentation and to evaluate...

DOAJ Open Access (DOAJ) DOI: 10.3389/fvets.2020.528990

Astaxanthin biofortification enhances tobacco tolerance to lead stress through boosting antioxidant defense, reducing Pb accumulation, and modulating detoxification pathways

Zhongyang Du, Mengjing Liang, Xiaodan Wang, Yizhen Liu et al. • Journal of Advanced Research (2026)

Introduction: Heavy metal pollution including lead (Pb) has become one of the serious global issues threatening food security, human health, and the ecosystem. Exogenous application of astaxanthin (ATX), a potent natural antioxidant, has be...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jare.2025.07.038

Evolutionary Algorithms in Health Technologies

Sai Ho Ling, Hak‐Keung Lam • Algorithms (2019)

Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications. Recent research indicates that artificial intelligence can help achieve outstanding ...

OPENALEX cc-by DOI: https://doi.org/10.3390/a12100202

Effects of an infant formula containing a whey protein concentrate on feeding tolerance and markers of intestinal immune defense in Chinese infants

Ying Wang, Min Liu, Shaillay Kumar Dogra, Karine Vidal et al. • BMC Nutrition (2026)

Abstract Background Human milk (HM) bioactive components can have immune modulatory functions, impact the gut microbiome, and may result in functional benefits when added to infant formula (IF). In this single-arm, prospective, intervention...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40795-026-01395-0

ASSESSMENT OF THE LEARNING CURVE IN HEALTH TECHNOLOGIES

Craig Robert Ramsay, Adrian Grant, Sheila A. Wallace, Paul H. Garthwaite et al. • International Journal of Technology Assessment in Health Care (2000)

OBJECTIVE: We reviewed and appraised the methods by which the issue of the learning curve has been addressed during health technology assessment in the past. METHOD: We performed a systematic review of papers in clinical databases (BIOSIS, ...

OPENALEX DOI: https://doi.org/10.1017/s0266462300103149

Statistical assessment of the learning curves of health technologies

Craig Robert Ramsay, Adrian Grant, Sheila A. Wallace, Paul H. Garthwaite et al. • Health Technology Assessment (2001)

OBJECTIVES: (1) To describe systematically studies that directly assessed the learning curve effect of health technologies. (2) Systematically to identify 'novel' statistical techniques applied to learning curve data in other fields, such a...

OPENALEX cc-by DOI: https://doi.org/10.3310/hta5120

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

TRANSFER LEARNING: INCEPTION-V3 BASED CUSTOM CLASSIFICATION APPROACH FOR FOOD IMAGES

Vishwanath C Burkapalli, Priyadarshini C Patil • ICTACT Journal on Image and Video Processing (2020)

Deep-learning approach has become more popular in the field of image processing. When it is concerned with health issues, there are lots of improvements in the applications of food image classification by deep learning methods. Transfer lea...

DOAJ Open Access (DOAJ) DOI: 10.21917/ijivp.2020.0321

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

Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment

Rotondi, Armando J, Grady, Jonathan, Hanusa, Barbara H, Haas, Gretchen L et al. • Journal of Medical Internet Research (2021)

BackgroundeHealth applications not only offer the potential to increase service convenience and responsiveness but also expand the ability to tailor services to improve relevance, engagement, and use. To achieve these goals, it is critical ...

DOAJ Open Access (DOAJ) DOI: 10.2196/23137

Hackathons as Stepping Stones in Health Care Innovation: Case Study With Systematic Recommendations

Poncette, Akira-Sebastian, Rojas, Pablo-David, Hofferbert, Joscha, Valera Sosa, Alvaro et al. • Journal of Medical Internet Research (2020)

BackgroundUntil recently, developing health technologies was time-consuming and expensive, and often involved patients, doctors, and other health care professionals only as passive recipients of the end product. So far, users have been mini...

DOAJ Open Access (DOAJ) DOI: 10.2196/17004

Assessing Acceptance and Intention to Use of Home Telemonitoring Among Patients with Liver Cirrhosis: Development and Initial Psychometric Validation of a TAM-Based Questionnaire

Ruxandra-Cristina Marin, Horia Păunescu, Călin Muntean, Daniel Vasile Balaban et al. • Diagnostics (2026)

Background/Objectives: Liver cirrhosis (LC) is a major cause of morbidity and mortality requiring continuous monitoring and early recognition of clinical deterioration. Home telemonitoring is increasingly considered a supportive strategy fo...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics16162635

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Qingquan Chen, Zeshun Chen, Xi Zhu, Jiajing Zhuang et al. • Digital Health (2024)

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241287363

Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert)

Wan, Paul Kengfai, Satybaldy, Abylay, Huang, Lizhen, Holtskog, Halvor et al. • Journal of Medical Internet Research (2020)

BackgroundClinical decision support (CDS) is a tool that helps clinicians in decision making by generating clinical alerts to supplement their previous knowledge and experience. However, CDS generates a high volume of irrelevant alerts, res...

DOAJ Open Access (DOAJ) DOI: 10.2196/22013

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

A pairwise residue contact area-based mean force potential for discrimination of native protein structure

Pezeshk Hamid, Eslahchi Changiz, Sadeghi Mehdi, Arab Shahriar et al. • BMC Bioinformatics (2010)

Abstract Background Considering energy function to detect a correct protein fold from incorrect ones is very important for protein structure prediction and protein folding. Knowledge-based mean force potentials are certainly the most popula...

DOAJ Open Access (DOAJ) DOI: 10.1186/1471-2105-11-16