大数据和人工智能用于胃癌的药物发现:当前的应用和未来的前景
Mai Hanh Nguyen1,2,3, Ngoc Dung Tran3, Nguyen Quoc Khanh Le2,4,5,6
1International Ph.D. Program in Cell Therapy and Regenerative Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.
Current medicinal chemistry
|September 15, 2023
概括
人工智能 (AI) 和大数据正在彻底改变胃癌 (GC) 药物发现. 这些技术加速了新药标和治疗方法的识别,克服了这种流行癌症的传统方法的局限性.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 胃癌 (GC) 是全球癌症死亡的主要原因,晚期癌症的存活率较低.
- 对GC的传统药物发现是昂贵的,缓慢的,并且失败率很高.
- 对于GC来说,急需创新的治疗策略和药物标.
研究的目的:
- 审查人工智能 (AI) 和大数据在胃癌药物发现中的应用.
- 突出AI在识别新型治疗点和优化GC药物候选药物的作用.
- 讨论AI在推动GC研究中的挑战和未来前景.
主要方法:
- 关于人工智能算法和大数据分析在癌症药物发现中的当前文献的综述.
- 对人工智能应用的分析特别集中在胃癌的治疗发现上.
- 检查与GC研究中AI实施相关的挑战和局限性.
主要成果:
- 人工智能和大数据为GC提供了强大的工具来分析复杂的生物数据集.
- 人工智能可以预测化合物的疗效和毒性,加速药物开发管道.
- 整合人工智能有望提高发现新GC治疗的效率和成功率.
结论:
- 人工智能和大数据正在改变胃癌药物发现,为患者提供新的希望.
- 人工智能驱动的方法可以克服传统方法的局限性,从而更快地开发有效的治疗方法.
- 人工智能领域的持续研究和开发对推进胃癌治疗策略具有重大前景.
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