人工智能在药物发现和癌症中目标识别中的作用
Vishal Sharma1, Amit Singh1, Sanjana Chauhan1
1Department of Pharmacy, Galgotias University, Greater Noida, Uttar Pradesh, 201310, India.
Current drug delivery
|September 6, 2023
概括
人工智能 (AI) 通过快速分析复杂的生物数据以识别癌症标来加速药物发现和开发. 人工智能工具提高了效率,降低了用于新癌症治疗的关键分子标的成本.
科学领域:
- 计算生物学和生物信息学
- 瘤学和癌症研究.
- 医学中的人工智能
背景情况:
- 药物发现和开发 (DDD) 是一个复杂,耗时和昂贵的过程.
- 癌症病理生理学是复杂的,需要对新的治疗点进行广泛的研究.
- 准确的目标识别是开发有效癌症治疗的关键初步步骤.
研究的目的:
- 审查人工智能 (AI) 在药物发现和开发中的应用.
- 专注于人工智能数据库及其在癌症目标识别中的作用.
- 在这个领域探索各种AI类型,包括机器学习和深度学习.
主要方法:
- 审查现有的关于AI在药物发现中的应用文献.
- 分析不同的人工智能方法 (机器学习,神经网络,深度学习,基于网络的学习).
- 检查人工智能数据库和在线服务以确定目标.
主要成果:
- 人工智能技术有助于对大型生物数据集进行快速和精确的分析.
- 在药物发现的应用程序,服务和数据库中使用各种AI形式.
- 人工智能在癌症研究中显著帮助识别和验证潜在的药物标.
结论:
- 人工智能是解决药物发现和开发挑战的变革性技术.
- 人工智能驱动的目标识别对于推进新型癌症疗法至关重要.
- 该审查强调了人工智能数据库在简化癌症药物发现管道中的重要性.
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