人工智能和机器学习在微生物组和结肠直肠癌研究中的应用:诊断进步,预测工具和法医影响
Nivetha Baskaran1, Mowyla V1, Sowmiya S1
1Department of Biotechnology, Vivekananda College of Arts and Sciences for Women, Tiruchengode, Namakkal, Tamil Nadu, 637205, India.
Current pharmaceutical design
|November 5, 2025
概括
人工智能 (AI) 和机器学习 (ML) 正在彻底改变结直肠癌 (CRC) 研究和诊断. 这些技术增强了微生物组分析,改善了多体检测,并提供了新的法医应用,改变了患者护理和法律调查.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 医疗成像医学成像
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 在分析复杂的生物数据方面越来越重要.
- 结肠直肠癌 (CRC) 研究产生了庞大的数据集,需要先进的分析工具.
- 微生物组分析为AI/ML应用提出了独特的挑战和机遇.
研究的目的:
- 审查AI/ML在结直肠癌 (CRC) 诊断和微生物组分析中的当前应用.
- 探索AI/ML在增强内镜和基于成像的多体检测中的使用.
- 讨论与CRC相关的法医科学和精准医学中新兴的AI/ML应用.
主要方法:
- 在CRC和微生物组研究中对AI/ML工具 (例如,卷积神经网络,随机森林,支持矢量机器) 的现有文献的审查.
- 对人工智能集成系统进行分析,以提高诊断准确性和效率.
- 探索人工智能驱动的微生物指纹用于法医应用.
主要成果:
- 通过增强的成像和内镜系统,AI/ML工具显著提高了诊断准确度,并减少了CRC检测的延迟.
- 使用AI/ML进行微生物组分析,有助于理解CRC病变发生和开发个性化的治疗方法.
- 人工智能和微生物数据在法医应用中表现有前途,例如死后间隔估计和个人识别.
结论:
- 人工智能/ML对结直肠癌的临床诊断,预后和法医实践具有变革性的潜力.
- 在研究,临床实践和法医科学中整合AI / ML提供了显著的翻译影响.
- 未来的研究应该解决在CRC和相关领域有效部署人工智能的挑战和伦理考虑.
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