探索用于肺癌治疗中的精密医学的人工智能工具和多种omics
Arvindra Sahu1, Priyanshu Nema1, Devraj Rajak1
1Integrated Drug Discovery Research Laboratory, Department of Pharmaceutical Sciences, Dr. Harisingh Gour University (A Central University), Sagar, MP, India.
Cytokine & growth factor reviews
|June 21, 2025
概括
本综述涵盖了肺癌.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 遗传学 遗传学 是一个
背景情况:
- 肺癌是全球癌症死亡的主要原因之一.
- 尽管有进展,肺癌的诊断和治疗仍然具有挑战性.
- 了解分子机制对于改善结果至关重要.
研究的目的:
- 为了探索肺癌的分子基础.
- 突出诊断和治疗方面的进步.
- 讨论生物标志物和精准医学的作用.
主要方法:
- 对肺癌分子基础的当前文献的综述.
- 对遗传突变,代谢变化和生物标志物的分析.
- 检查诊断工具,如液体活检.
- 评估治疗策略,包括向治疗和免疫治疗.
- 在瘤学中对人工智能和多奥米克的评估.
主要成果:
- 液体活检提供非侵入性肺癌检测和监测.
- 分子向疗法 (例如EGFR,ALK,KRAS,MET抑制剂) 已经在治疗中取得了先进的进展.
- 免疫疗法和人工智能增强了精准医学,有助于早期诊断和药物发现.
- 多omics分析可以改善预后模型和治疗反应预测.
结论:
- 持续的研究对于解决药物耐药性和瘤异质性等挑战至关重要.
- 精准医学方法正在改变肺癌护理.
- 人工智能和多组学对未来的肺癌管理具有重大前景.
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