Artificial Intelligence Medical Compendium

BACKGROUND: The release of ChatGPT has spurred the widespread adoption of generative large language models (LLMs) in healthcare. This scoping review systematically examines their use in healthcare. METHODS: A systematic search was conducted using Pub... read more 

Patches represent a significant dosage form within transdermal drug delivery systems. In the quality control of transdermal patches, thickness not only affects the drug loading per unit area and drug release behavior but also is associated with patie... read more 

Lipid nanoparticles (LNPs) have demonstrated great potential in drug delivery. To fully unlock the therapeutic effect for various diseases, specific design and optimization of the LNP are necessary, which entails an efficient workflow to navigate the... read more 

Enzyme engineering involves enhancing enzyme function and application through multidimensional technological systems. Its development encompasses elucidating sequence-structure-function relationships, exploring fitness landscapes, and multiscale regu... read more 

Pain is a prominent non-motor symptom of Parkinson's disease (PD); it may appear in various levels (elevated or diminished) during waking hours and substantially reduces quality of life. Although subthalamic nucleus (STN) signal analysis has dramatic... read more 

PURPOSE: While plasticizers are known preeclampsia (PE) risk factors, the mechanisms of combined exposure to ATBC, DEP, DMP, and DOP remain unclear. This study aims to elucidate their biological targets and pathogenic mechanisms in PE. METHODS: PE/to... read more 

PURPOSE: Uveitis encompasses a heterogeneous group of ocular inflammatory diseases with a high risk of permanent vision loss. Accurate diagnosis and disease monitoring are dependent on integrating disparate clinical data from patient history, examina... read more 

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Accurate Air Quality Index (AQI) forecasting is critical for pollution control and public health protection, yet traditional methods struggle to capture long-range temporal dependencies and bidirectional context in complex atmospheric dynamics. We pr... read more 

Sulfonamide antibiotics are emerging aquatic contaminants due to environmental persistence and antimicrobial resistance risks. Biochar is a promising adsorbent for sulfonamide removal, but experimental optimization remains resource intensive. This st... read more