INTRODUCTION: Aldosterone dysregulation (excess aldosterone production at the source within the adrenal glands) in the absence of primary aldosteronism is a complex physiologic driver of uncontrolled hypertension and cardiovascular and kidney outcome... read more
Deep neural networks have recently achieved promising performance in the vein recognition task and have shown an increasing application trend. However, they are prone to adversarial attacks by adding imperceptible perturbations to the input, resultin... read more
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 18, 2026
Computerized posturography has been employed to quantify an individual's intrinsic balance control under varying stances, thereby presenting the potential to support autonomous and ambulatory fall risk assessment when integrated with machine learning... read more
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 18, 2026
Accurate assessment of gross motor function in children with cerebral palsy (CP) is essential for clinical decision-making, yet current practice is limited by data scarcity, severe class imbalance, and patient heterogeneity. Recent skeleton-based dee... read more
IEEE transactions on bio-medical engineering
Mar 18, 2026
Accurate assessment of patients with disorders of consciousness (DoC) remains a major clinical challenge due to the limitations of behavior-based evaluations and task-dependent neurophysiological paradigms. Whole-night polysomnography (PSG), a passiv... read more
Recently, research into chatbots (also known as conversational agents, artificial intelligence agents, or voice assistants), which are computer applications using artificial intelligence to mimic human-like conversation, has grown sharply. Despite th... read more
Surface-enhanced Raman scattering (SERS) is a powerful spectroscopic tool for molecular analysis, in which molecular-surface interactions, adsorption energetics, and electronic coupling govern activation, selectivity, and sensitivity. Despite this, S... read more
The journal of physical chemistry letters
Mar 18, 2026
Machine learning potentials (MLPs) can offer a powerful, cost-effective alternative to traditional quantum mechanical (QM) methods for simulating excited-state dynamics. In this work, we present a comprehensive comparison of two MLP models, SS-ANI an... read more
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