Leveraging Network Target Theory for Efficient Prediction of Drug-Disease Interactions: A Transfer Learning Approach.

Efficient virtual screening methods can expedite drug discovery and facilitate the development of innovative therapeutics. This study presents a novel transfer learning model based on network target theory, integrating deep learning techniques with diverse biological molecular networks to predict drug-disease interactions. By incorporating network techniques that leverage vast existing knowledge, the approach enables the extraction of more precise and informative drug features, resulting in the identification of 88,161 drug-disease interactions involving 7,940 drugs and 2,986 diseases.

Decoding airway granulogenesis in children: unveiling risk factors for tracheobronchial foreign body aspiration and complications.

Background: Exogenous foreign body aspiration is a common high-risk condition in children. In a few cases, foreign body aspiration can lead to airway granulomas that interfere with tracheoscopic foreign body removal and threaten the life of the child.

Methods: This study was a retrospective analysis of the clinical data of 184 pediatric patients who were admitted to Quanzhou Children's Hospital from 2018 to 2021 with exogenous tracheobronchial foreign bodies.

Behavior, mechanisms, and applications of low-concentration CO in energy media.

This review explores the behavior of low-concentration CO (LCC) in various energy media, such as solid adsorbents, liquid absorbents, and catalytic surfaces. It delves into the mechanisms of diffusion, adsorption, and catalytic reactions, while analyzing the potential applications and challenges of these properties in technologies like air separation, compressed gas energy storage, and CO catalytic conversion. Given the current lack of comprehensive analyses, especially those encompassing multiscale studies of LCC behavior, this review aims to provide a theoretical foundation and data support for optimizing CO capture, storage, and conversion technologies, as well as guidance for the development and application of new materials.