With the rapid proliferation of generative artificial intelligence (GenAI), increasing scholarly attention has been directed toward college students' dependence on such tools. Using a questionnaire survey of 1099 college students, this study examined... read more
Acquiring awareness, understanding, and emotional engagement with generative artificial intelligence (AI) is crucial for enhancing service delivery and attracting new users. This study investigates user experiences with generative AI through comprehe... read more
Electrocardiograms (ECGs) play a crucial role in cardiovascular healthcare, requiring effective analytical models. ECG analysis is inherently hierarchical, involving multiple temporal scales from individual waveforms to intervals within heartbeats, a... read more
A variety of AI-based approaches have been employed to analyze complex genomic datasets. Predicting the synergy of drug combinations is a critical step toward optimizing cancer treatment by identifying the most effective drug pairs. This study presen... read more
Biochemical and biophysical research communications
Jan 21, 2026
BACKGROUND: Protein lactylation is a novel post-translational modification driven by lactate and has emerged as a critical link between cellular metabolism and epigenetic regulation in inflammatory diseases, including sepsis. However, a systematic pr... read more
Dissolved organic carbon (DOC) plays a pivotal role in regulating the mobility and bioavailability of trace metals in freshwater systems, yet its interactions with land-use and climate drivers remain poorly constrained in South Asian river basins. Th... read more
PURPOSE: To present comprehensive development and evaluation methodologies for a generalizable deep learning (DL)-driven autocontouring model of standard pelvic organs-at-risk (OARs) in MRI-planned cervical brachytherapy. MATERIALS AND METHODS: A cur... read more
The aging society urgently requires scalable methods to monitor cognitive decline and identify social and psychological factors indicative of dementia risk in older adults. Our machine learning models captured facial, acoustic, linguistic, and cardio... read more
We quantify historical land-use with deep learning image segmentation (GeoAI), applied to tiled historical maps, and identify 3 successive drivers of long-term (1774-2022) landscape transformation in northern Belgium (13,800 km2). Between 1774 and 18... read more
The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of excitement and apprehension. However, a critical piece that has been missi... read more
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