AI Medical Compendium

Plasma proteomic signatures linking preserved ratio impaired spirometry to cardiometabolic diseases and multimorbidity: A longitudinal cohort study.

Pulmonology Apr 7, 2026

BACKGROUND: Preserved ratio impaired spirometry (PRISm), defined by reduced FEV1 with preserved FEV1/FVC ratio, has been linked to cardiometabolic diseases (CMDs), but underlying mechanisms remain unclear. This study aims to identify plasma proteomic... read more

Synthetic News, Natural Doubts? A Meta-Analysis of Credibility Perceptions of AI-Generated News.

Cyberpsychology, behavior and social networking Apr 7, 2026

As generative artificial intelligence (AI) becomes increasingly integrated into news production, concerns about the credibility of synthetic news content are intensifying. While some studies report that audiences find AI-generated news less credible ... read more

Machine-learning-assisted descriptor identification for catalysts in catalytic ozonation of VOCs.

Physical chemistry chemical physics : PCCP Apr 7, 2026

The catalytic ozonation method is a low-energy degradation technology for volatile organic compounds (VOCs). Developing efficient catalysts is crucial for advancing this technology. Up to 100 relevant works have been published to date, but analyzing ... read more

State-of-the-art of surface-enhanced Raman spectroscopy for pathogenic bacterial identification.

The Analyst Apr 7, 2026

Rapid and accurate identification of pathogenic bacteria is essential for safeguarding public health. However, existing approaches, including conventional culture methods, microscopic examination, modern molecular biology techniques, and sophisticate... read more

CT-Free Quantitative Thyroid SPECT Based on Artificial Intelligence: A Prospective Multicenter Noninferiority Clinical Trial.

Thyroid : official journal of the American Thyroid Association Apr 7, 2026

BACKGROUND: Hybrid single-photon emission computed tomography (SPECT)/computed tomography (CT) is used for the differential diagnosis of thyrotoxicosis, but its dependence on CT and complex analysis remains debated. This study evaluated whether CT-fr... read more

Synergistic Strategies in the Design of Dynamic Hydrogels: Lessons From the Hydrogen Bonding in the Nature.

Macromolecular rapid communications Apr 7, 2026

Dynamic hydrogels face the challenge of balancing performance robustness with dynamic responsiveness, and traditional strategies often fail to address both. Inspired by the synergistic regulation of structure and function through multiple weak intera... read more

Unraveling the Temperature Effects on the Raman Spectra of V2O5 by Combining Machine Learning and Molecular Dynamics.

The journal of physical chemistry letters Apr 7, 2026

Raman spectroscopy serves as a powerful operando tool for probing the atomic structure in catalysts and functional materials, yet interpreting the spectra acquired under complex working conditions often requires the aid of reliable computational appr... read more

Shadow-Calibrated Stereo Vision for Colorimetric Sweat Analysis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 7, 2026

The image recognition technologies, such as facial recognition and object detection, have found widespread application across diverse fields. However, conventional monocular camera systems capture only 2D information, rendering the accurate reconstru... read more

Computational progress of designing single-atom alloy catalysts for methane activation.

Nanoscale Apr 7, 2026

Nonoxidative coupling of methane to value-added hydrocarbons remains a major challenge in catalysis due to inert C-H bonds in methane and rapid catalyst deactivation caused by coke contamination. Single-atom alloys (SAAs), atomically dispersing isola... read more

Segmenting multi-modal abdominal multi-organ using the CADSTransN-Net model.

Journal of X-ray science and technology Apr 7, 2026

Deep learning advances medical imaging segmentation, but the insufficient diversity of datasets limits its performance. The AMOS22 dataset addresses this by providing large-scale, varied clinical data to enhance algorithm robustness.PurposeThis study... read more

Artificial Intelligence Medical Compendium