基于人工智能的技术进步,以提高医疗产品的质量
Nidhi Srivastava1, Sneha Verma2, Anupama Singh3
1Maharishi School of Pharmaceutical Sciences, Maharishi University of Information and Technology, Lucknow, Uttar Pradesh, India. nidhimpharm@gmail.com.
概括
人工智能 (AI) 结合机器学习和深度学习,通过改善药物发现和患者治疗结果,彻底改变了医疗保健. 人工智能增强了医疗服务,降低了成本,并加速了生物医学领域的产品开发.
科学领域:
- 生物医学研究的研究.
- 计算医学是一种计算医学.
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 整合了机器学习 (ML) 和深度学习,用于各种科学应用.
- 人工智能在医学领域为药物发现和改善医疗保健服务提供了巨大的潜力.
- 基因组学和计算医学的进步需要医疗保健中的新技术和实践.
研究的目的:
- 在生物医学领域提供基于人工智能的技术概述.
- 探索AI在药物开发中的应用,从蛋白质行为预测到制造.
- 突出AI在提高产品质量,成本效益和安全方面的作用.
主要方法:
- 审查当前基于人工智能的技术及其应用.
- 对AI在药物向行为和物理化学性质方面的预测能力的分析.
- 检查AI与健康统计数据的整合,以实现个性化的患者治疗.
主要成果:
- 人工智能可以预测药物向蛋白的行为,并预测物理化学性质.
- 人工智能与健康数据的整合提供了精确的患者治疗见解.
- 通过预测蛋白质结构和优化制造,人工智能有助于新药的发现.
结论:
- 人工智能是医疗保健中的变革性技术,增强药物发现和患者护理.
- 人工智能采用有望显著节省成本和改善临床结果.
- 人工智能简化了产品开发生命周期,确保了制造业的质量和成本效益.
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