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Application of TyG index and carotid ultrasound parameters in the prediction of ischemic stroke

Huimin Guo, Huimin Guo, Sen Wang, Haizheng Wang et al. • Frontiers in Endocrinology (2025)

ObjectiveThe triglyceride - glucose (TyG) index has been confirmed as an independent risk factor for ischemic stroke (IS) in numerous studies. In terms of the role of carotid ultrasound in the risk assessment of IS, the focus has shifted fr...

DOAJ Open Access (DOAJ) DOI: 10.3389/fendo.2025.1481676

Relationship between Pb relative bioavailability and bioaccessibility in phosphate amended soil: Uncertainty associated with predicting Pb immobilization efficacy using in vitro assays

Farzana Kastury, Silvia Placitu, John Boland, Ranju R. Karna et al. • Environment International (2019)

In this study, an in vitro in vivo correlation (IVIVC) between Pb in vitro bioaccessibility (IVBA) and relative bioavailability (RBA) was explored to determine whether the efficacy of Pb immobilization in phosphate amended soils could be pr...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.envint.2019.104967

Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system

Chang Suk Lee, Kyung-Soo Han, Jong-Min Yeom, Kyeong-sang Lee et al. • GIScience & Remote Sensing (2018)

The surface albedo is an essential climate variable that is considered in many applications used for predicting climate and understanding the mechanisms of climate change. In this study, surface albedo was estimated using a bidirectional re...

DOAJ Open Access (DOAJ) DOI: 10.1080/15481603.2017.1360578

Developing a Framework for Using Molecular Dynamics in Additive Manufacturing Process Modelling

Panagiotis Stavropoulos, Vasiliki Christina Panagiotopoulou • Modelling (2022)

Additive Manufacturing (AM), or else Smart Manufacturing, has been an intrinsic concept in Industry 4.0, offering flexibility and material efficiency. Certain limitations prevent AM from being used in the industrial setting extensively, des...

DOAJ Open Access (DOAJ) DOI: 10.3390/modelling3010013

VirtualToxLab™ - In silico prediction of the toxic (endocrine-disrupting) potential of drugs, chemicals and natural products. Two years and 2,000 compounds of experience: a progress report

Angelo Vedani, Martin Smiesko, Morena Spreafico, Ourania Peristera et al. • ALTEX: Alternatives to Animal Experimentation (2009)

The VirtualToxLab™ is an in silico tool for predicting the toxic (endocrine-disrupting) potential of drugs, chemicals and natural products. It is based on a fully automated protocol and calculates the binding affinity of any molecule of int...

DOAJ Open Access (DOAJ) DOI: 10.14573/altex.2009.3.167

My Caregiver the Cobot: Comparing Visualization Techniques to Effectively Communicate Cobot Perception to People with Physical Impairments

Max Pascher, Kirill Kronhardt, Til Franzen, Uwe Gruenefeld et al. • Sensors (2022)

Nowadays, robots are found in a growing number of areas where they collaborate closely with humans. Enabled by lightweight materials and safety sensors, these cobots are gaining increasing popularity in domestic care, where they support peo...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22030755

Supporting the spread of health technology in community services

Lucy Sitton‐Kent, Catriona Humphreys, Phillip Miller • British Journal of Community Nursing (2018)

Health technology has been proposed as a route to financial savings and improved patient safety for many years within the NHS. Nurses have a key role to play in transforming care through such technology but, despite high-level endorsement, ...

OPENALEX DOI: https://doi.org/10.12968/bjcn.2018.23.3.118

Developing a nomogram to predict recurrent intussusception after pneumatic reduction of primary intussusception in children

Jie Liu, Danping Zeng, Zhihui Jiang, Wenli Xiu et al. • BMC Surgery (2024)

Abstract Backgroud Intussusception is a common acute abdominal disease in children, often leading to acute ileus in infants and young children. Objective This study aimed to develop and validate a nomogram for predicting recurrent intussusc...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12893-024-02578-x

The Downregulation of eIF3a Contributes to Vemurafenib Resistance in Melanoma by Activating ERK via PPP2R1B

Shi-Long Jiang, Shi-Long Jiang, Zhi-Bin Wang, Zhi-Bin Wang et al. • Frontiers in Pharmacology (2021)

Vemurafenib, a BRAF V600E inhibitor, provides therapeutic benefits for patients with melanoma, but the frequent emergence of drug resistance remains a challenge. An understanding of the mechanisms underlying vemurafenib resistance may gener...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphar.2021.720619

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

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

Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool

Fabian Yap, Daniel Chan, Mei Chien Chua, Matthew Hadimaja et al. • BMJ Health & Care Informatics (2025)

Background Monitoring early childhood growth is vital, as growth faltering could indicate nutritional or health issues requiring prompt intervention. Our study’s aim was to assess the performance of a length-weight artificial intelligence (...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101540

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine (2026)

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02849-2

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study

Ye Kuang, Yan Yu, Jing Li, Chuanmei Peng et al. • BMC Medical Informatics and Decision Making (2026)

Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-026-03461-w