探索人工智能的潜力,以增强传统抗癌药物开发的潜力
Sorin-Ștefan Bobolea1, Miruna-Ioana Hinoveanu1, Andreea Dimitriu1
1Department of Physical and Colloidal Chemistry, Faculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.
人工智能 (AI) 为加速癌症药物发现提供了一个有希望的途径,这是一个复杂而昂贵的过程. 通过分析庞大的数据集和识别模式,人工智能可以增强传统的研究方法,提高新的癌症治疗的成功率.
科学领域:
- 在瘤学瘤学.
- 计算生物学 计算生物学
- 人工智能的人工智能
背景情况:
- 癌症影响全球人口的很大一部分,导致每年数百万人死亡.
- 目前的癌症药物开发是一个漫长,昂贵和低成功率的过程.
- 人工智能 (AI) 提供了一个改善癌症药物发现效率和结果的机会.
研究的目的:
- 审查人工智能技术在癌症药物开发中的潜力.
- 探索AI如何增强已有的研究方法,如QSAR和ADMET预测.
- 定义关键的人工智能术语并澄清计算技术方面.
主要方法:
- 关于最先进的人工智能技术的文献综述.
- 检查AI在癌症药物研究中的应用.
- 分析来自学术界和工业界的案例研究.
主要成果:
- 人工智能可以处理大数据集以识别模式,并帮助药物发现中的决策.
- 人工智能有可能加速开发新型癌症疗法的进展.
- 目前的人工智能应用在增强已建立的研究方法方面表现有前途.
结论:
- 人工智能技术可以显著增强和补充现有的癌症药物开发方法.
- 解决人工智能的局限性对于最大限度地提高它对癌症治疗的影响至关重要.
- 未来的研究应该专注于克服人工智能挑战,以优化其在瘤学中的作用.
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