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Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial

D. Ontaneda, P. Sati, P. Raza, M. Kilbane et al. • NeuroImage: Clinical (2021)

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overrelianc...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102834

Multi-label classification of fundus images based on graph convolutional network

Yinlin Cheng, Mengnan Ma, Xingyu Li, Yi Zhou • BMC Medical Informatics and Decision Making (2021)

Abstract Background Diabetic Retinopathy (DR) is the most common and serious microvascular complication in the diabetic population. Using computer-aided diagnosis from the fundus images has become a method of detecting retinal diseases, but...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-021-01424-x

Requirements for Vitiligo Registry Design in Iran: A Qualitative Content Analysis Study

Zahra Arabkermani, Roxana Sharifian, Peivand Bastani, Azadeh Bashiri et al. • Journal of Health Sciences and Surveillance System (2025)

Background: Vitiligo is a prevalent skin disorder that has significant biological and social consequences for the affected individuals. Therefore, appropriate measures should be taken to diagnose this disease and treat patients, and powerfu...

DOAJ Open Access (DOAJ) DOI: 10.30476/jhsss.2024.101583.1884

Medical Informatics: Concepts and Applications

Farzaneh Aminpour • E-LIS Repository (University of Naples Federico II) (2004)

Medical Informatics is a developing body of knowledge concerned with the use of information and communication technology in support of medical research, education and also for promoting health care delivery. The field focuses on the biomedi...

OPENALEX Open Access

Argumentation approaches for explanaible AI in medical informatics

Luciano Caroprese, Eugenio Vocaturo, Ester Zumpano • Intelligent Systems with Applications (2022)

Artificial Intelligence algorithms are powerful in performing accurate predictions, but they are often considered black boxes as they do not provide any explanation about how outputs are derived from inputs or why a decision is taken. There...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.iswa.2022.200109

Data on biosynthesis of BPAF glucuronide, enzyme kinetics of BPAF glucuronidation, and molecular modeling

Darja Gramec Skledar, Jurij Trontelj, Johanna Troberg, Tihomir Tomašič et al. • Data in Brief (2019)

Bisphenol AF (BPAF) is in the body mainly metabolized to the corresponding bisphenol AF glucuronide (BPAF-G). While BPAF-G is not commercially available, enzyme-assisted synthesis of BPAF-G using the human recombinant enzyme UGT2A1, purific...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2018.12.033

Adaptation of the Stakeholders’ Walkability/Wheelability Audit in Neighborhoods (SWAN) Tool for Individuals With Diverse Disabilities: Protocol for a Mixed Methods Study

Atiya Mahmood, Farinaz Rikhtehgaran, Rojan Nasiri, Niloofar Hedayati et al. • JMIR Research Protocols (2025)

BackgroundThe prevalence of sensory, cognitive, and mobility disabilities in Canada underscores the need to address environmental barriers. This study adapts and validates the Stakeholders’ Walkability/Wheelability Audit in Neighborhoods (S...

DOAJ Open Access (DOAJ) DOI: 10.2196/60553

On the correspondence between the transcriptomic response of a compound and its effects on its targets

Chloe Engler Hart, Daniel Ence, David Healey, Daniel Domingo-Fernández • BMC Bioinformatics (2023)

Abstract Better understanding the transcriptomic response produced by a compound perturbing its targets can shed light on the underlying biological processes regulated by the compound. However, establishing the relationship between the indu...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-023-05337-6

Missed Healthcare Visits During the COVID-19 Pandemic: A Longitudinal Study

Jethel Hernandez, Stephanie Batio, Rebecca Mullen Lovett, Michael S. Wolf et al. • Journal of Primary Care & Community Health (2024)

Introduction: Missed visits have been estimated to cost the U.S. healthcare system $50 billion annually and have been linked to healthcare inefficiency, higher rates of emergency department visits, and worse outcomes. COVID-19 disrupted exi...

DOAJ Open Access (DOAJ) DOI: 10.1177/21501319241233869

Combining Digital Cognitive Behavioral Therapy With Mindfulness Training for Binge Eating Disorder: Protocol for a Feasibility Trial

Margaret Sala, Corey Roos, Dante Ascarrunz, Casey M Stern et al. • JMIR Research Protocols (2026)

BackgroundCognitive behavioral therapy (CBT) is the most effective treatment for binge eating disorder (BED) but is limited by modest efficacy and low reach of in-person delivery. Combining mindfulness training with CBT could enhance effica...

DOAJ Open Access (DOAJ) DOI: 10.2196/91761

Is a prostate cancer screening anxiety measure invariant across two different samples of age-appropriate men?

Linder Suzanne K, Swank Paul R, Vernon Sally W, Morgan Robert O et al. • BMC Medical Informatics and Decision Making (2012)

Abstract Background In order to explore the influence of anxiety on decision–making processes, valid anxiety measures are needed. We evaluated a prostate cancer screening (PCS) anxiety scale that measures anxiety related to the prostate–spe...

DOAJ Open Access (DOAJ) DOI: 10.1186/1472-6947-12-52

Fusing content and social relationships: a multi-modal heterogeneous graph transformer approach for social bot detection

Jianhong Luo, Chaoqi Jin • EPJ Data Science (2025)

Abstract Social bots pose a significant threat to online platforms, demanding robust methods to detect their increasingly complex behaviors. This paper introduces MM-HGT-Bot, a multi-modal framework that advances the field by operationalizi...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjds/s13688-025-00583-5

Secondary research use of personal medical data: patient attitudes towards data donation

Gesine Richter, Christoph Borzikowsky, Bimba Franziska Hoyer, Matthias Laudes et al. • BMC Medical Ethics (2021)

Abstract Background The SARS-CoV-2 pandemic has highlighted once more the great need for comprehensive access to, and uncomplicated use of, pre-existing patient data for medical research. Enabling secondary research-use of patient-data is a...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12910-021-00728-x

An updated database of human maximum skin fluxes and epidermal permeability coefficients for drugs, xenobiotics, and other solutes applied as aqueous solutions

Hanumanth Srikanth Cheruvu, Xin Liu, Jeffrey E Grice, Michael S. Roberts • Data in Brief (2022)

The dataset represented in this article is referred to by the review article entitled “Topical drug delivery: history, percutaneous absorption, and product development” (MS Roberts et al., 2021) [1]. The dataset contains maximal flux (Jmax)...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2022.108242

Adaptive frequency band attention-guided CNN–BiLSTM for Spatial–Spectral–Temporal EEG emotion recognition

Rabita Hasan, Sheikh Md. Rabiul Islam • Brain Informatics (2026)

Abstract Electroencephalography (EEG)-based emotion recognition has gained increasing attention in affective computing because EEG provides high temporal resolution and reflects intrinsic neural activity. However, reliable emotion recogniti...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40708-026-00319-9

Identifying urban features for vulnerable road user safety in Europe

Marina Klanjčić, Laetitia Gauvin, Michele Tizzoni, Michael Szell • EPJ Data Science (2022)

Abstract One of the targets of the UN Sustainable Development Goals is to substantially reduce the number of global deaths and injuries from road traffic collisions. To this aim, European cities adopted various urban mobility policies, whic...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjds/s13688-022-00339-5