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
Prostaglandin receptors are pharmacologically validated targets with implications in several medical indications, including glaucoma, cardiac cyanotic disease, pulmonary hypertension, oncology, and various rare diseases. In this study, we developed a... read more
With manual update, progress monitoring of a construction project is notably challenging due to its labor-intensive and time-consuming nature. The issue of manual update has been proposed to be alleviated by automatic update, but most existing AI-bas... read more
Accurate and scalable taxonomic classification is essential for biodiversity research, supporting systematic species identification across multiple hierarchical ranks. However, current image-based classification methods often fail to enforce taxonomi... read more
The development of accurate digital models (DMs) for physical systems requires virtual representations that faithfully capture the underlying physics of the system or equipment being represented. Physics-based DMs provide reliable predictions only wh... read more
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