宫癌不断变化的景观:通过整合生物技术和人工智能,在查和治疗方面取得突破
Raghu Aswathy1, Sundaravadivelu Sumathi2
1Department of Biochemistry, Biotechnology and Bioinformatics, Avinashilingam Institute for Home Science and Higher Education for Women, Bharathi Park Rd, Near Forest College Campus, Saibaba Colony, Coimbatore, Tamil Nadu, 641043, India.
Molecular biotechnology
|April 4, 2024
概括
创新生物技术和人工智能 (AI) 为宫癌 (CC) 的预防和治疗提供了新的希望,特别是在资源较少的环境中. 需要进一步的研究来实现这些进展,以在全球范围内改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 生物技术是生物技术.
- 医疗保健中的人工智能
背景情况:
- 子宫癌 (CC) 仍然是一个重要的全球健康问题,特别影响低收入和中等收入国家 (LMICs) 的妇女.
- 迫切需要创新的,具有成本效益和高响应的策略来预防,诊断和治疗CC,并尽量减少副作用.
研究的目的:
- 审查最近宫癌管理方面的进展.
- 识别当前CC护理中的研究缺口和挑战.
- 探索将生物技术和人工智能 (AI) 整合到CC管理中的潜力.
主要方法:
- 关于宫癌研究近期发展的文献综述.
- 分析人工智能 (AI) 在CC查和诊断中的作用.
- 探索新的治疗策略及其与传统治疗的结合.
主要成果:
- 生物技术和人工智能在彻底改变CC护理方面显著有前途,从查 (例如,移动ODT) 到精准医学和新疗法.
- 人工智能集成已经证明了CC查的准确性增加和改善患者的结果.
- 将新策略与传统治疗方法结合起来,可以克服现有方法的局限性.
结论:
- 整合生物技术和人工智能为宫癌管理提供了一种变革性的方法.
- 进一步的临床研究对于这些先进技术的实际实施至关重要.
- 利用这些创新可以大大减少宫癌的全球负担,改善妇女的健康,特别是在LMICs.
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