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Academic Articles & Research Papers
Showing 20 of 817 academic articles
Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, Uttandaraman Sundararaj • Sensors
(2023)
Disease diagnosis and monitoring using conventional healthcare services is typically expensive and has limited accuracy. Wearable health technology based on flexible electronics has gained tremendous attention in recent years for monitoring...
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DOI: https://doi.org/10.3390/s23239498
PMC: 10708748
Vladimir Tesar, Conor Judge, John Kelleher, Zdenka Hrušková et al. • RMD Open
(2024)
Objective ANCA-associated vasculitis (AAV) is a relapsing-remitting disease, resulting in incremental tissue injury. The gold-standard relapse definition (Birmingham Vasculitis Activity Score, BVAS>0) is often missing or inaccurate in re...
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Open Access (DOAJ)
DOI: 10.1136/rmdopen-2023-003962
Xiu-An Ye, Shu-Hong Lin, Liang-Yu Chen, Jie-Ren Li et al. • Sensing and Bio-Sensing Research
(2025)
Pulmonary tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), necessitates early diagnosis for effective patient care. Despite advancements in TB diagnostics, there remains an urgent need to discover innovative non-sputum-based m...
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Open Access (DOAJ)
DOI: 10.1016/j.sbsr.2025.100816
Ally Kafesa, Nadira Nur Hajah Lutfi, Cep Wahyu • Indonesian Journal of Medical Laboratory Science and Technology
(2021)
The concentration of magnesium is determined based on the absorbance of the Mg-Xylydil Blue-I complex solution use spectrophotometer. Based on the Lambert-Beer rule, the calculation of sample concentration is based on the formula A = Ԑ. b. ...
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Open Access (DOAJ)
DOI: 10.33086/ijmlst.v3i1.1876
Ling Zhang, Jinpeng Lin, Xuan Zhao, Mingwei Liu et al. • Frontiers in Bioengineering and Biotechnology
(2024)
Introduction: This study employed surgical robot to perform anatomic single-bundle reconstruction using the modified transtibial (TT) technique and anteromedial (AM) portal technique. The purpose was to directly compare tunnel and graft cha...
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Open Access (DOAJ)
DOI: 10.3389/fbioe.2024.1360560
Caity Roleston, Umasha Ukwatte, Nia Roberts, Gail N. Hayward et al. • Diagnostic and Prognostic Research
(2026)
Abstract Background Development of new diagnostic health technologies is increasing, alongside interest in how they can be implemented into health services. Evaluation of new diagnostic tests has typically consisted of technical and diagnos...
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Open Access (DOAJ)
DOI: 10.1186/s41512-026-00240-z
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...
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Open Access (DOAJ)
DOI: 10.21917/ijivp.2020.0321
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...
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Open Access (DOAJ)
DOI: 10.1177/20552076241287363
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...
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Open Access (DOAJ)
DOI: 10.1136/bmjhci-2025-101761
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...
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Open Access (DOAJ)
DOI: 10.1177/20552076261493266
Eliana Brehaut, Dipika Neupane, Brooke Levis, Yin Wu et al. • International Journal of Methods in Psychiatric Research
(2023)
Abstract Objectives Optimal cutoff thresholds are selected to separate ‘positive’ from ‘negative’ screening results. We evaluated how depression screening tool studies select optimal cutoffs. Methods We included studies from previously cond...
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Open Access (DOAJ)
DOI: 10.1002/mpr.1956
Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics
(2025)
Abstract
BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...
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Open Access (DOAJ)
DOI: 10.2196/67529
Ruimin Wang, Miaoshan Lu, Shaowei An, Jinyin Wang et al. • BMC Bioinformatics
(2023)
Abstract Background Liquid chromatography–mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature alignment ...
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Open Access (DOAJ)
DOI: 10.1186/s12859-023-05525-4
Saeed Shakibfar, Morten Andersen, Maurizio Sessa • iScience
(2023)
Summary: Community-acquired pneumonia (CAP) is an acute infection involving the parenchyma of the lungs, which is acquired outside of the hospital. Population-wide real-world data and artificial intelligence (AI) were used to develop a dise...
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Open Access (DOAJ)
DOI: 10.1016/j.isci.2023.107027
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 (...
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Open Access (DOAJ)
DOI: 10.1136/bmjhci-2025-101540
Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications
(2024)
Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...
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DOI: https://doi.org/10.1007/s00521-023-09366-3
Robinson Spencer, Fadi Thabtah, Neda Abdelhamid, Michael Thompson • Digital Health
(2020)
Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...
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Open Access (DOAJ)
DOI: 10.1177/2055207620914777
Rubi Hammer, Gillian E. Cooke, Mark A. Stein, James R. Booth • NeuroImage: Clinical
(2015)
Finding neurobiological markers for neurodevelopmental disorders, such as attention deficit and hyperactivity disorder (ADHD), is a major objective of clinicians and neuroscientists. We examined if functional Magnetic Resonance Imaging (fMR...
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Open Access (DOAJ)
DOI: 10.1016/j.nicl.2015.08.015
Jérôme Baranger, Olivier Villemain, Matthias Wagner, Mariella Vargas-Gutierrez et al. • NeuroImage: Clinical
(2021)
Abnormal variations of the neonatal brain perfusion can result in long-term neurodevelopmental consequences and cerebral perfusion imaging can play an important role in diagnostic and therapeutic decision-making. To identify at-risk situati...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.nicl.2021.102756
Jinnan Hu, Donald Freed, Hanying Feng, Hong Chen et al. • Frontiers in Bioinformatics
(2026)
BackgroundIntegrating short- and long-read sequencing technologies has become a promising approach for achieving accurate and comprehensive genomic analysis. Although short-read sequencing (Illumina, etc.) offers high base accuracy and cost...
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Open Access (DOAJ)
DOI: 10.3389/fbinf.2025.1691056