Hepatocellular carcinoma (HCC) ranks sixth in incidence and third in mortality worldwide, underscoring its public health burden. Ablation therapy is one of the curative treatments for early-stage HCC. With recent advances in systemic therapy, combini... read more
Hypertension (HTN), despite contemporary endovascular repair, is a common and challenging complication of coarctation of the aorta (CoA), and its mechanisms and optimal management remain uncertain. Using computed tomography angiography (CTA), we pres... read more
Physical and engineering sciences in medicine
Feb 24, 2026
High-b-value (b = 2000 s/mm²) diffusion-weighted imaging (DWI) is vital for prostate disease detection and characterization due to superior tumor-to-background contrast, but its direct acquisition is time-consuming, technically demanding, and prone t... read more
Journal of autism and developmental disorders
Feb 24, 2026
PURPOSE: The main aim of this study is to examine autism awareness in relation to different professional identities and to explore its implications for teacher education. Furthermore, the study aims to explore how teacher education can be improved by... read more
DeepBrainNet, a machine learning tool, uses magnetic resonance imaging (MRI) to predict an individual's brain age, allowing calculation of the brain age gap (predicted chronological age) for use as a biomarker of brain health. We tested the DeepBrain... read more
Journal of chemical theory and computation
Feb 24, 2026
Machine learning interatomic potentials (MLIPs), also known as machine learning force fields (MLFFs), offer scalable means of simulating complex systems and processes at ab initio level accuracy. One such process is the critical yet still poorly unde... read more
Journal of chemical information and modeling
Feb 24, 2026
We present a machine learning-assisted local-to-global optimization strategy (LOGOS) for predicting stable molecular cluster structures on potential energy surfaces (PESs). This model facilitates the construction of molecular clusters by identifying ... read more
BACKGROUND: Medical history-taking is a core clinical skill; yet, traditional teaching methods face challenges. We developed an artificial intelligence-powered medical history-taking training and evaluation system (AMTES) and established its technica... read more
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