BACKGROUND: Accurate and timely disease detection is essential in modern healthcare. Conventional imaging methods such as computed tomography (CT), magnetic resonance imaging (MRI), and dual-energy X-ray absorptiometry (DXA) offer valuable diagnostic... read more
BACKGROUND: Lysine malonylation (Kmal) is a reversible post-translational modification involved in metabolic regulation and other essential biological processes across diverse species. Accurate identification of Kmal sites is important for understand... read more
Recent advancements in artificial intelligence have demonstrated enhanced potential in accelerating drug discovery by exploring vast chemical spaces and predicting molecular properties. In particular, scaffold-constrained molecular generation has ena... read more
International journal of retina and vitreous
May 19, 2026
BACKGROUND: Alzheimer disease (AD) and Parkinson disease (PD) are an increasing healthcare concern and growing cause of disability in our century. The advent of the artificial intelligence (AI) era and the early changes in retina and optic nerve morp... read more
In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous paired-sample design using the same 930 participants from the Bio-Hermes-001 study for both the Digit... read more
Digital cognitive assessments represent an important and rapidly evolving approach to detecting cognitive impairment and Alzheimer's disease-related pathology. Jannati et al. report promising findings using a multimodal digital clock and recall asses... read more
Diabetic retinopathy (DR) is a leading cause of blindness in middle-aged and elderly populations worldwide, and its diagnosis remains challenging due to the reliance on subjective interpretation of retinal images by experienced ophthalmologists. Here... read more
Journal of human lactation : official journal of International Lactation Consultant Association
May 19, 2026
BACKGROUND: Generative artificial intelligence (AI) is increasingly used in health communication and nursing education; however, its clinical reliability remains uncertain. Breastfeeding education requires accurate, readable, and clinically applicabl... read more
This study aimed to develop machine learning models to predict postoperative acute kidney injury (AKI) in surgical patients with pre-existing chronic kidney disease (CKD), a serious complication associated with high morbidity and accelerated disease ... read more
Groundwater is the principal source of drinking and agricultural water supply in the Vietnamese Mekong Delta (VMD), yet it is increasingly threatened by salinization, redox-driven metal mobilization, and unsustainable abstraction. Reliable and cost-e... read more
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