人工智能驱动的药物改用:应用和挑战
Paraskevi Keramida1, Nikolaos K Syrigos1, Marousa Kouvela1
1Oncology Unit, Third Department of Internal Medicine and Laboratory, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece.
人工智能 (AI) 通过分析庞大的数据集来加速药物的重新用途,以找到现有药物的新用途,减少开发时间和成本. 这种方法在治疗瘤,神经退行性和罕见疾病方面表现有前途,尽管面临挑战.
科学领域:
- 计算生物学和药理学 计算生物学和药理学
- 药物的发现和开发.
背景情况:
- 药物重定向为传统药物开发提供了一个更快,更便宜的替代方案,通过利用具有已知的安全性概况的现有药物.
- 这一策略显著减少了发现新疗法所固有的时间,成本和失败率.
研究的目的:
- 审查人工智能 (AI) 工具在推动药物重用倡议中的关键作用.
- 突出AI在关键医学领域的应用,包括瘤学,神经退行性疾病和罕见疾病.
主要方法:
- 人工智能利用计算技术来处理广泛的生物和医学数据集.
- 预测建模用于识别生物分子相似性和阐明疾病机制.
- 分析AI在各种治疗领域的影响.
主要成果:
- 人工智能显著提高了识别潜在药物候选人重新用途的效率.
- 人工智能在加速治疗瘤学,神经退行性和罕见疾病的发现中的应用.
- 确定了包括数据质量,可解释性,伦理考虑和监管障碍在内的关键挑战.
结论:
- 人工智能驱动的药物再利用代表了医学研究和药物开发的变革性方法.
- 这一创新领域有可能以更高效和更具成本效益的方式解决未得到满足的医疗需求.
- 持续的研究是必要的,以克服现有的挑战,并充分实现AI在药物重新利用的能力.
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