Reset
Showing 20 of 1,656 academic articles

Cost-Effectiveness Analysis of Pan-Genotypic Sofosbuvir-Based Regimens for Treatment of Chronic Hepatitis C Genotype 1 Infection in China

Hui Jun Zhou, Jing Cao, Hui Shi, Nasheen Naidoo et al. • Frontiers in Public Health (2021)

Background: Hepatitis C virus (HCV) genotype 1 is the most prevalent HCV infection in China. Sofosbuvir-based direct antiviral agent (DAA) regimens are the current mainstays of treatment. Sofosbuvir/velpatasvir (SOF/VEL) and sofosbuvir/ledi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2021.779215

Development of an evaluation framework for health information communication technology in contemporary pharmacy practice

Ayomide Ogundipe, Tin Fei Sim, Lynne Emmerton • Exploratory Research in Clinical and Social Pharmacy (2023)

Background: Health information communication technology (ICT) has rapidly evolved in contemporary pharmacy practice worldwide. The Australian healthcare system is experiencing a paradigm shift to real-time interconnectivity for practitioner...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rcsop.2023.100252

MBOAT7-TMC4 rs641738 Is Not Associated With the Risk of Hepatocellular Carcinoma or Persistent Hepatitis B Infection

Peng Wang, Ying Li, Lu Li, Rong Zhong et al. • Frontiers in Oncology (2021)

ObjectiveA hot genetic variant, rs641738 within the membrane-bound O-acyltransferase domain containing 7(MBOAT7) and transmembrane channel-like 4 (TMC4), was recently reported to be associated with several liver diseases. However, the resul...

DOAJ Open Access (DOAJ) DOI: 10.3389/fonc.2021.639438

Hormonal Influences on ADC Values in Breast Tissues: A Scoping Review of DWI in Pre- and Post-menopausal Women [version 3; peer review: 2 approved]

Neil Barnes Abraham, Abhimanyu Pradhan, Suresh Sukumar, Sneha Ravichandran et al. • F1000Research (2025)

Background Breast cancer remains a significant global health concern, with early diagnosis and risk factor identification crucial for improving outcomes. Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) measurements...

DOAJ Open Access (DOAJ) DOI: 10.12688/f1000research.153999.3

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

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

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

The Comparability of Men Who Have Sex With Men Recruited From Venue-Time-Space Sampling and Facebook: A Cohort Study

Hernandez-Romieu, Alfonso C, Sullivan, Patrick S, Sanchez, Travis H, Kelley, Colleen F et al. • JMIR Research Protocols (2014)

BackgroundRecruiting valid samples of men who have sex with men (MSM) is a key component of the US human immunodeficiency virus (HIV) surveillance and of research studies seeking to improve HIV prevention for MSM. Social media, such as Face...

DOAJ Open Access (DOAJ) DOI: 10.2196/resprot.3342

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

Phosphorus runoff from Canadian agricultural land: A dataset for 30 experimental fields

Jian Liu, Jane A. Elliott, Henry F. Wilson, Merrin L. Macrae et al. • Data in Brief (2021)

Phosphorus (P) runoff from agricultural land plays a critical role in downstream water quality. This article summarizes P and sediment runoff data for both snowmelt and rainfall runoff from 30 arable fields in the Canadian provinces of Sask...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107405

Association between social health status and health-related quality of life among community-dwelling elderly in Zhejiang

Jieming Lu, Zhebin Yu, Xiaocong Zhang, Mengyin Wu et al. • Health and Quality of Life Outcomes (2020)

Abstract Background Population aging is an inevitable trend and previous studies have showed the relationship between social health related factors and health-related quality of life (HR-QOL) in the elderly. The objective of this study is t...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12955-020-01358-4

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

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