热点议题:探索人工智能和炎症记忆在银屑病管理中的作用。

Huidi Shucheng,April W Armstrong,Liv Eidsmo,Denis Poddubnyy
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引用次数: 0

摘要

银屑病和银屑病关节炎研究与评估小组(GRAPPA) 2024年年会和培训生研讨会的“热点话题”部分探讨了人工智能(AI)在银屑病(PsD)管理中的整合以及驱动银屑病和银屑病关节炎复发的炎症记忆的潜在机制。Drs。April Armstrong和Denis Poddubnyy讨论了人工智能在提高诊断准确性、评估疾病严重程度和预测治疗反应方面的变革性作用,特别是通过卷积神经网络等深度学习模型。人工智能系统在为牛皮癣提供客观、标准化的评估方面显示出了希望,其应用范围已扩展到皮肤病学和风湿病学。Liv Eidsmo博士介绍了对炎症记忆的见解,这是一种由免疫细胞和非免疫细胞(包括组织驻留记忆细胞和表观遗传改变的角质形成细胞)维持的现象。Eidsmo强调了理解导致疾病持续存在的细胞和分子途径的重要性。人工智能和炎症记忆都强调了PsD管理的关键挑战和机遇;未来的研究需要整合技术进步,更深入地了解影响治疗结果的生物过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hot Topics: Exploring Artificial Intelligence and Inflammatory Memory in the Management of Psoriatic Diseases.
The "hot topics" session of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2024 annual meeting and trainee symposium explored the integration of artificial intelligence (AI) in managing psoriatic diseases (PsD) and the underlying mechanisms of inflammatory memory that drive recurrence in psoriasis and psoriatic arthritis. Drs. April Armstrong and Denis Poddubnyy discussed the transformative role of AI in enhancing diagnostic accuracy, assessing disease severity, and predicting treatment responses, particularly through deep learning models such as convolutional neural networks. AI systems have shown promise in providing objective, standardized assessments for psoriasis, with applications expanding across dermatology and rheumatology. Dr. Liv Eidsmo presented insights into inflammatory memory, a phenomenon sustained by both immune and nonimmune cells, including tissue-resident memory cells and epigenetically altered keratinocytes. Eidsmo emphasized the importance of understanding the cellular and molecular pathways that contribute to disease persistence. Both AI and inflammatory memory highlight key challenges and opportunities in PsD management; future research is needed to integrate technological advancements, with a deeper understanding of the biological processes affecting treatment outcomes.
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