BACKGROUND: Sepsis heterogeneity complicates management and prognosis. Growth differentiation factor 15 (GDF15) may offer novel insights into sepsis sub-phenotyping. This study explored serum GDF15 trajectories for sub-phenotyping and prognostic stra... read more
The spatial distribution of soil and groundwater pollutants is critical for effective remediation. Machine learning methods are increasingly applied in predicting pollutant distributions due to their efficiency, low cost, and ability to capture compl... read more
BACKGROUND: Colorectal cancer (CRC) is a leading cause of mortality worldwide, and early examination via colonoscopy is increasingly used to prevent CRC mortality. Recently, studies have attempted utilizing artificial intelligence for the classificat... read more
International journal of biological macromolecules
May 25, 2026
As RNA becomes an emerging therapeutic target, predicting the binding mode of RNA-small molecule through emerging algorithms is of crucial importance in drug development. A complete prediction of binding modes should not only include recognition of n... read more
Human gut microbes, such as Bacteroides, rely on specialized gene clusters known as polysaccharide utilization loci (PULs) to metabolize diverse dietary and host-derived glycans. A major class of transcription regulators of these PULs is the hybrid t... read more
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
May 25, 2026
Pathologists diagnose and grade prostate cancer using thin two-dimensional (2D) histological sections, but these 3-5 micron sections are too thin to visualize complete glandular networks and three-dimensional (3D) spatial relationships of adenocarcin... read more
Understanding how anthropogenic CO2 emissions (ACE) respond to large-scale systemic disruptions is essential for climate mitigation and environmental management. Here, we develop an interpretable machine learning framework that integrates an XGBoost ... read more
Environmental pollution (Barking, Essex : 1987)
May 25, 2026
Regional ecological risk assessments typically rely on interpolated toxic heavy metal (THM) surfaces derived from sparse field samples. However, this approach is fundamentally constrained by sampling density and interpolation errors, resulting in hig... read more
Clinical MR elastography (MRE) typically requires acquisition of four vibration phase images synchronized with external vibrations, prolonging acquisition time and increasing slice misalignment risk due to inadequate breath-holding. To address this l... read more
Ticks are major vectors of pathogens affecting both humans and animals, yet effective and sustainable control strategies remain limited. Conventional vaccines based on the concealed antigen Bm86 provide only partial protection and are often constrain... read more
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