Volume 5, Issue 1 (2025) – 17 articles
Cover Picture: This article explores the potential of artificial intelligence (AI) in transforming the diagnosis and management of Wilson disease (WD), a rare genetic disorder caused by ATP7B gene mutations that result in copper accumulation. Traditional diagnostic methods can be challenging due to the disease’s variable presentation, requiring invasive procedures in some cases. AI offers a promising solution by improving diagnostic accuracy through predictive modeling and data analysis while also enabling personalized treatment plans. Additionally, AI-powered wearable devices and remote monitoring systems enhance disease management by integrating real-time data with electronic health records.
Despite these advancements, the responsible implementation of AI in WD care must address ethical concerns such as data privacy and algorithmic bias. The broader applicability of AI in other genetic disorders underscores the need for continued research and interdisciplinary collaboration among clinicians, researchers, and tech developers. Ultimately, AI has the potential to significantly improve patient outcomes, optimizing copper metabolism and enhancing life expectancy for individuals with WD.
view this paper Despite these advancements, the responsible implementation of AI in WD care must address ethical concerns such as data privacy and algorithmic bias. The broader applicability of AI in other genetic disorders underscores the need for continued research and interdisciplinary collaboration among clinicians, researchers, and tech developers. Ultimately, AI has the potential to significantly improve patient outcomes, optimizing copper metabolism and enhancing life expectancy for individuals with WD.
