对突然感觉神经听力损失和人工智能支持的个性化精密疗法的遗传多态性分析
1Department of Otolaryngology-Head and Neck Surgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
Frontiers in neurology
|March 5, 2026
概括
内内类固醇注射与后耳治疗相结合,显著改善了突然感觉神经听力损失 (SSNHL) 的结果. 遗传因素和人工智能模型,特别是CNN,增强了个性化的SSNHL治疗预测.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 遗传学 遗传学 是一个
- 人工智能的人工智能
背景情况:
- 突然感觉神经听力损失 (SSNHL) 由于其复杂的性质和可变的预后,提出了诊断和治疗方面的挑战.
- 确定影响SSNHL治疗结果的因素对于改善患者康复至关重要.
研究的目的:
- 确定影响SSNHL治疗结果的关键因素.
- 使用遗传数据和人工智能开发和验证个性化治疗预测模型.
主要方法:
- 收集了来自200名SSNHL患者的临床数据,包括治疗方案 (全身与内膜类固醇).
- 分析了遗传多态性,并构建/验证了个性化治疗预测模型.
- 使用内部和外部验证集进行后勤回归,CNN,随机森林和SVM模型的效率比较.
主要成果:
- 组合疗法 (静脉内类固醇和静脉内类固醇) 与单一疗法相比显示出更高的康复率 (p < 0.01).
- 特定的遗传多态 (GJB2,SLC26A4,TNF-α,CYP3A4) 与治疗反应相关.
- 与其他模型相比,CNN模型在预测治疗疗效方面表现出更高的灵敏度,特异性和准确性 (p < 0.05).
结论:
- 结合的入耳内膜和后耳内膜类固醇注射代表了一个最佳的SSNHL治疗策略.
- 遗传多态性可以作为个性化SSNHL治疗的生物标志物.
- 深度学习CNN模型为SSNHL的精确治疗决策提供了先进的功能.
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