Glioma is a highly aggressive brain tumor characterized by a profoundly immunosuppressive tumor microenvironment dominated by M2-polarized tumor-associated macrophages (TAMs). This study utilized machine learning and single-cell multi-omics technolog... read more
Apoptotic extracellular vesicles (ApoEVs), natural bilayer nanoparticles released during programmed cell death, have emerged as pivotal regulators and promising therapeutic agents for bone regeneration. They function as innate multimodal signaling en... read more
OBJECTIVES: To develop and validate an interpretable machine learning (ML) model for early prediction of peri-implant mucositis (PIM). MATERIAL AND METHODS: This retrospective study enrolled patients receiving dental implants between October 2011 to ... read more
Ultrasensitive detection of low-abundance protein biomarkers is essential for early disease diagnosis and therapeutic monitoring. While droplet digital enzyme-linked immunosorbent assay (ddELISA) addresses this need by enabling attomolar sensitivity,... read more
Warnings of pathogens manufactured to target a specific ethnic group, so-called genetic bioweapons, have recently received considerable media attention. Genetic bioweapons figure prominently in reports on potential future risks emerging from combinin... read more
With the vigorous development of artificial intelligence and the semiconductor industry, the treatment of a mass of copper- and fluorine-containing industrial wastewater poses a challenge to the sustainable development of human society and the enviro... read more
Journal of chemical information and modeling
Apr 5, 2026
Accurate prediction of proton dissociation constants (pKa) is essential for downstream drug discovery and molecular modeling workflows. While several proprietary pKa prediction tools have been established as popular choices in the field, open-source ... read more
Neural networks : the official journal of the International Neural Network Society
Apr 5, 2026
Low-light image enhancement focuses on improving the visual perceptual quality and restoring structure details for images captured from poor lightness conditions. The existing approaches often perform well under the identical lightness distribution w... read more
Marine bivalves often face heavy metal stress, yet we still lack of high-resolution way to observe the metal pollution status in soft tissue. This study provides the first high-resolution spatial mapping of cadmium (Cd) and associated heavy metals in... read more
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