临床试验和药物开发中的AI:挑战和潜在的进步
Divyanshi Gupta1, Pranay Wal1, Ankita Wal1
1PSIT-Pranveer Singh Institute of Technology, Pharmacy NH19 Kanpur Agra highway, NH19 Bhauti Kanpur, UP, India.
人工智能 (AI) 增强了药物发现和临床试验,提高了效率和成本效益. 这项研究回顾了AI.
科学领域:
- *人工智能 (AI) 在科学研究和开发中的应用.
- * 整合机器学习 (ML),深度学习 (DL) 和人类智能 (HI).
背景情况:
- *人工智能正在迅速改变各种行业,包括工程,医学和航空航天.
- *人工智能彻底改变了药物发现和开发,提高了效率并降低了成本.
- *人工智能被用于各种科学领域,如药物化学,药理学和毒理学.
研究的目的:
- *强调人工智能在临床试验和药物开发中的重要性.
- * 探索当前的挑战和人工智能在医疗保健中的未来进展.
- * 为在临床研究中导航人工智能实施提供建议.
主要方法:
- *从1998年到2023年的综合文献综述.
- * 通过Science Direct,PubMed和谷歌学者进行的搜索.
- *数据来源于Nature,MDPI,Springer Link和研究门的出版物.
主要成果:
- *人工智能改善了临床试验中的患者分层,样本评估和试验设计.
- *人工智能有助于生物标志物识别,有效性标准的确定和剂量选择.
- *人工智能解决了药物开发中的研究障碍和方法限制.
结论:
- *人工智能对于高效,低成本的药物发现和临床试验至关重要.
- * 强大的AI战略对于制药公司来说是必不可少的,以使AI成为常规应用.
- * 了解AI的潜力和局限性是成功将其整合到医疗保健中的关键.
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