Jin Ruyi, Zhang Li
Department of Dermatology, The First Hospital of China Medical University, Shenyang, China.
NHC Key Laboratory of Immunodermatology, China Medical University, Shenyang, China.
Front Microbiol. 2025 Feb 20;16:1541942. doi: 10.3389/fmicb.2025.1541942. eCollection 2025.
With the increasing application of artificial intelligence (AI) in medical research, studies on the human immunodeficiency virus type 1(HIV-1) and acquired immunodeficiency syndrome (AIDS) have become more in-depth. Integrating AI with technologies like single-cell sequencing enables precise biomarker identification and improved therapeutic targeting. This review aims to explore the advancements in AI technologies and their applications across various facets of HIV research, including viral mechanisms, diagnostic innovations, therapeutic strategies, and prevention efforts. Despite challenges like data limitations and model interpretability, AI holds significant potential in advancing HIV-1 management and contributing to global health goals.
随着人工智能（AI）在医学研究中的应用日益增加，对1型人类免疫缺陷病毒（HIV-1）和获得性免疫缺陷综合征（AIDS）的研究也变得更加深入。将人工智能与单细胞测序等技术相结合，能够实现精确的生物标志物识别并改善治疗靶点。本综述旨在探讨人工智能技术的进展及其在HIV研究各个方面的应用，包括病毒机制、诊断创新、治疗策略和预防工作。尽管存在数据限制和模型可解释性等挑战，但人工智能在推进HIV-1管理和助力全球卫生目标方面具有巨大潜力。
