Fen Yin

You are already at the latest version Explainable AI (XAI) has become an essential area of research, particularly in the era of Large Language Models (LLMs), which power a wide range of applications spanning natural language processing, automated decision-making, and conversational AI. These models have demonstrated remarkable capabilities in generating human-like text, answering complex queries, and assisting in diverse fields such as healthcare, finance, and legal analysis.

Abstract Background: Air pollution exposure increases cardiovascular morbidity and mortality. Preventing chronic cardiovascular diseases caused by air pollution relies on detecting the early effects of pollutants on the risk of cardiovascular disease development, which is limited by the lack of sensitive biomarkers. We have identified promising biomarkers in experimental animals but comparable evidence in humans is lacking.