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整合遗传洞察力和人工智能,改善口腔和面癌症护理

A K M Shafiul Kadir¹, Md Asaduzzaman², Joye Kundu³

¹Quest Bangladesh Biomedical Research Center, Dhaka, Bangladesh.

Methods in molecular biology (Clifton, N.J.)

|June 24, 2025

概括

人工智能 (AI) 和基因洞察力正在彻底改变口腔和面癌症 (OMC) 护理. 人工智能有助于早期检测,个性化治疗和预后预测,显著改善患者的治疗结果.

科学领域:

生物医学研究的研究.
在瘤学瘤学.
遗传学遗传学是一个

背景情况:

口腔和面癌 (OMC) 在诊断和治疗方面存在重大挑战.
了解基因变异对于OMC病原体的产生至关重要.
目前的诊断和治疗策略可以通过先进的技术来改进.

研究的目的:

探索人工智能 (AI) 和基因洞察力在推进OMC护理方面的协同潜力.
突出AI在OMC早期检测,诊断,治疗计划和预后方面的作用.
讨论人工智能与遗传数据的整合,以实现个性化的 OMC 管理.

主要方法:

对口腔状细胞癌 (OSCC) 和其他OMC恶性瘤的遗传变化 (突变,多态) 的审查.
应用人工智能驱动的工具,包括计算机视觉和机器学习,用于分析遗传数据和医疗记录.
将遗传标记与临床数据集成为个性化治疗策略.

主要成果:

人工智能为早期检测和准确诊断OMC提供了新的机会.
人工智能算法可以识别出暗示OMC发展的微妙模式.
基于综合遗传和临床数据的个性化治疗计划可以最大限度地提高疗效并最大限度地减少不良影响.

结论:

人工智能与遗传洞察力的整合对OMC护理具有变革性的潜力.
人工智能驱动的方法提高了早期检测,准确的诊断和个性化治疗,从而改善了患者的治疗结果.
这种协同作用促进了生物医学研究和OMC管理中的临床实践.

关键词:

人工智能的人工智能是人工智能.早期检测早期检测基因工程是一种基因工程.口腔和大面部癌症是口腔和大面部癌症.个性化治疗个性化治疗

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