The journals of gerontology. Series A, Biological sciences and medical sciences
Jan 14, 2026
BACKGROUND: Disrupted sleep and circadian rhythms in dementia affect rest-activity patterns and impact quality of life, safety, and caregiver burden. The objective of this study is to extend the application of real-time location system (RTLS) technol... read more
MOTIVATION: Drug synergy is crucial for developing effective combination therapies, but traditional screening methods suffer from inefficiency and high costs. While deep learning shows promise for predicting drug synergy, current approaches using Tra... read more
Journal of the Royal Society, Interface
Jan 14, 2026
Highly pathogenic avian influenza (HPAI), especially the H5N1 subtype has caused repeated global outbreaks, primarily affecting birds, but occasionally spreading between humans. These events pose serious public health and economic risks, demanding en... read more
Cas9 nucleases defend bacteria against invading DNA and can be used with single guide RNAs (sgRNAs) as antimicrobials and genome-editing tools. However, bacterial applications are limited by incomplete knowledge of Cas9-target interactions. Here, we ... read more
Chronic stress affects cognitive function across many domains, including memory, decision making and learning. While the effects of early-life stress on vocal learning in juveniles are well-demonstrated in both humans and songbirds, less is known abo... read more
European journal of obstetrics, gynecology, and reproductive biology
Jan 14, 2026
INTRODUCTION: We conducted a cross-sectional, blinded expert evaluation of AI-generated answers to 22 frequently asked pregnancy questions to characterize content quality and potential clinical utility. METHODS: Five obstetricians (not involved in ra... read more
The electrocardiogram (ECG) is a valuable and non-invasive tool for detecting and preventing arrhythmias. However, in real-world situations, ECG signals are often contaminated by various types of noise, which can lead to clinical misdiagnoses. As a r... read more
We present a high-performance predictive framework for anticancer peptide (ACP) identification, based on a stacking ensemble learning approach that synergistically combines convolutional neural networks and transformer models using a random forest as... read more
The application of artificial intelligence (AI) technologies in the management of oral diseases is rapidly increasing, encompassing etiopathogenesis, disease course, diagnosis, treatment plans, and postoperative care. AI demonstrates exceptional perf... read more
Effective management of coastal water quality is challenging in urbanized regions, where dynamic land-sea interaction and intensifying human pressures drive ecological change. This study proposes an integrated approach that combines Self-Organizing M... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.