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Updated: Feb 19, 2026

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机器学习算法用于预测家族地中海热病中的菌素耐药性

Admir Öztürk1, Berkay Kılıç1, Murad Kucur2

  • 1Medicine, Cerrahpasa Medical Faculty, University of Istanbul-Cerrahpasa, Turkey, Istanbul.

Rheumatology (Oxford, England)
|February 17, 2026
PubMed
概括

人工智能模型可以预测家族地中海热病 (FMF) 患者的素耐药性. 这种人工智能方法有助于早期识别和个性化治疗成年人患有FMF.

关键词:
人工智能的人工智能是人工智能.科尔奇辛耐药性是一种耐药性.深度学习是一种深度学习.这是一种家族性地中海热病.

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