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Updated: May 30, 2025

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在Odontogenic Keratocyst和Ameloblastoma的研究趋势

X-H Liu¹, N-N Zhong¹, J-R Yi¹

¹State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.

Journal of dental research

|January 29, 2025

概括

最近的技术进步提高了对口腔瘤 (OKC) 和骨质母细胞瘤 (AM) 病变的理解. 人工智能和向疗法对改善这些侵袭性疾病的诊断和治疗充满希望.

科学领域:

口腔病理学和瘤学
生物技术和欧米克技术
医学中的人工智能.

背景情况:

牙生囊 (OKC) 和乳腺母细胞瘤 (AM) 是常见的,具有高复发率的侵袭性病变.
最近的技术进步,包括奥米克和人工智能,正在彻底改变对这些瘤的理解.
现有的AM临床前模型比OKC更为成熟.

研究的目的:

审查了解OKC和AM的最新技术进展.
突出奥米克,3D文化,人工智能和向治疗方面的进展.
确定未来的研究方向和潜在的治疗目标.

主要方法:

分析单细胞和空间奥米克数据,以了解瘤微环境和异质性.
使用3D有机体培养模型进行AM亚型分析和药物查.
人工智能 (机器学习,深度学习) 在放射学和病理学中的应用.
对OKC和AM的向治疗方法的临床研究的审查.

主要成果:

奥米克斯研究揭示了OKC和AM细胞异质性和微环境的洞察力.
三维器官模型确定了治疗点 (FOSL1,BRD4,EZH2,Wnt),并作为临床前平台.
人工智能驱动的放射学和病理学改善了诊断准确性和预后预测.
临床试验证明了针对OKC和AM的向治疗 (SMO,BRAF) 的有效性.

结论:

技术进步正在显著提高对OKC和AM的理解和管理.
人工智能和3D文化模型为未来的研究和治疗开发提供了强大的工具.
向疗法显示出有希望的临床结果,为个性化治疗策略铺平了道路.

关键词:

人工智能的人工智能是人工智能.部疾病部疾病分子向疗法是指分子向疗法.臭氧致癌瘤的发生在临床前的临床前.瘤微环境是一个微环境.

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