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Showing 11 of 331 academic articles

Rapid profiling of carcinogenic types of Helicobacter pylori infection via deep learning analysis of label-free SERS spectra of human serum

Fen Li, Yu-Ting Si, Jia-Wei Tang, Zeeshan Umar et al. • Computational and Structural Biotechnology Journal (2024)

WHO classified Helicobacter pylori as a Group I carcinogen for gastric cancer as early as 1994. However, despite the high prevalence of H. pylori infection, only about 3 % of infected individuals eventually develop gastric cancer, with the ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csbj.2024.09.008

Identifying private pumping wells in a land subsidence area in Taiwan using deep learning technology and street view images

Chun-Wei Huang, Si Ying Yau, Chiao-Ling Kuo, Tsai-Yu Kuan et al. • Journal of Hydrology: Regional Studies (2024)

Study region: The Choushui River Fan, Taiwan. Study focus: Groundwater overdraft has led to not only groundwater depletion but also environmental disasters, such as subsidence and seawater intrusion in the Choushui River Alluvial Fan, Taiwa...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2023.101636

Deep Learning in Mammography

Anton S. Becker, Magda Marcon, Soleen Ghafoor, Moritz C. Wurnig et al. • Investigative Radiology (2017)

OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mam...

OPENALEX DOI: https://doi.org/10.1097/rli.0000000000000358

Key factors and serial mediation analysis of anxiety and depression among university students: a cross-sectional study

Tan Jiang, Shijia Zhang, Shijia Zhang, Deyou Jiang • Frontiers in Psychiatry (2026)

BackgroundAnxiety and depressive symptoms are prevalent among university students; however, their risk factors are unlikely to operate in isolation. Instead, they may be organized in a multilevel structure that progressively approaches emot...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2026.1809332

Machine learning in pain research

Jörn Lötsch, Alfred Ultsch • Pain (2017)

1. Introduction Pain and pain chronification are incompletely understood and unresolved medical problems that continue to have a high prevalence.14 It has been accepted that pain is a complex phenomenon.2,32,72 Contemporary methods of compu...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1097/j.pain.0000000000001118 PMC: 5895117

Using generalized random forests to characterize vulnerability to adverse health outcomes following wildfire smoke exposure in California

Noémie Letellier, Caitlin G. Jones-Ngo, Michael W. Cheung, Rosana Aguilera et al. • Environment International (2025)

Background: As the health burden attributable to wildfire activity increases under climate change, it is crucial to determine which subgroups face heightened vulnerability to wildfire smoke. Marginalized communities may experience dispropor...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.envint.2025.109955

Binaural Beat Stimulation Enhances Cognitive Function in Alzheimer’s Disease via Temporal Lobe Activation: An sLORETA Study

Muhammad Danish Mujib, Nayab Mubashir, Ahmad Zahid Rao, Nisha Nasir et al. • Biomedicines (2026)

Background: The global prevalence of Alzheimer’s disease (AD) has reached 55.2 million. AD is characterized by progressive deterioration in cognition and working memory (WM), which are essential for attention, reasoning, and learning. These...

DOAJ Open Access (DOAJ) DOI: 10.3390/biomedicines14030540

Sex-based differences in characteristics, management, and outcomes in heart failure with reduced ejection fraction

Christian Basile, Stefan D. Anker, Gianluigi Savarese • Global Cardiology (2025)

Heart failure with reduced ejection fraction (HFrEF) exhibits significant sex-based differences in clinical presentation, management, and outcomes. This study aimed to evaluate these differences using data from the Swedish Heart Failure Reg...

DOAJ Open Access (DOAJ) DOI: 10.4081/cardio.2025.73