BACKGROUND: Conventional age-based breast cancer screening ignores substantial inter-individual risk variation, contributing to overdiagnosis, false positives, and missed opportunities for earlier detection in high-risk women. Mammography-based artif... read more
Apoptosis : an international journal on programmed cell death
May 18, 2026
Endometriosis is characterized by progressive fibrosis and limited therapeutic options. Cuproptosis, a copper-dependent form of regulated cell death, has been implicated in multiple pathological conditions, but its relevance to fibroblast-mediated fi... read more
Journal of thrombosis and thrombolysis
May 18, 2026
Patients with intracerebral hemorrhage (ICH) are at high risk of venous thromboembolism (VTE). Current risk assessment tools are limited and not tailored for neurocritical care populations. This study aimed to develop and validate machine learning-ba... read more
The artificial neural network-optimized model for exploring local thermal non-equilibrium (LTNE) influences on gyrotactic microorganisms in a chemically reactive SWCNTs-MWCNTs/water-based hybrid nanofluid has a wide range of applications in advanced ... read more
This study aimed to evaluate the image quality and delineation of the cystic artery and related abdominal vessels using Super-Resolution Deep Learning Reconstruction (SR-DLR) on contrast-enhanced computed tomography (CT), compared with standard Deep ... read more
Journal of psychopathology and clinical science
May 18, 2026
Clinicians are tasked with predicting and preventing suicidal behavior among their patients; however, there is currently no method for accurately predicting whether a person will make a suicide attempt (SA) in the near future. We tested whether brief... read more
BACKGROUND: Prediction of the oral resistome protein sequence is crucial to have multi-drug efflux pumps for both drug discovery and resistance management. Sophisticated machine learning and deep learning techniques called graph attention networks (G... read more
BACKGROUND: The integration of artificial intelligence (AI) into clinical dentistry has opened new avenues for diagnostic support and treatment planning. Among AI tools, large language models such as ChatGPT have shown potential in assisting clinical... read more
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