解析 A。解析:文中提到“By analyzing large amounts of biological data, AI can identify potential drug targets and predict the efficacy and safety of new drugs.”,即通过分析大量生物数据,人工智能可以识别潜在的药物靶点并预测新药的疗效和安全性。
2021年6月30日,FDA/NCTR生物信息学和生物统计学部门主任Weida Tong(童伟达)和FDA/NCTR生物信息学和生物统计学部门AI研究团队技术负责人Zhichao Liu(刘智超)在Drug Discovery Today在线发表文章,文章总结了基于AI的语言模型的进展,以及其在药物发现和开发中的应用潜力。 以下是全文内容。 1.摘要 新药的发现和开发是昂...
因此,我们可以预见,人工智能和ML会带来向综合计算型精准医疗的快速演变。 参考资料Philippe Moingeon, Mélaine Kuenemann, MickaëlGuedj, Artificial intelligence-enhanced drug design and development: Toward acomputational precision medicine, Drug Discovery Today, 2021, ISSN 1359-6446,https://doi.org/10.1016/...
Machine learning Drug Discovery Bioinformatics Introduction Drug discovery involves a series of complex and time-consuming steps. The first step is drug discovery, i.e. identifying the biological target (which may be DNA, RNA, proteins) that is responsible for the development of the disease. The ...
What is AI being used for in drug discovery and development? A. Identifying drug targets. B. Testing drug safety. C. Marketing drugs. D. Distributing drugs. 相关知识点: 试题来源: 解析 A。解析:人工智能在药物发现和开发中用于识别潜在的药物靶点,并预测新药的疗效和安全性。
While the adoption of AI presents unprecedented opportunities, challenges such as data security, interpretability, and ethical considerations must be navigated. This chapter provides a comprehensive overview of the current state of AI in drug discovery, emphasizing its potential to reshape the ...
已被应用到药物研发的各个阶段,医药领域对人工智能技术越来越重视,目前人工智能技术在药物研发中的应用主要表现为七个场景,分别是:靶点药物研发、候选药物挖掘、化合物筛选、预测ADMET性质、药物晶型预测、辅助病理生物学研究和发掘药物新适应症,人...
This review highlights the impactful use of AI in diverse areas of the pharmaceutical sectors viz., drug discovery and development, drug repurposing, improving pharmaceutical productivity, clinical trials, etc. to name a few, thus reducing the human workload as well as achieving targets in a ...
Drug discovery and development has always been subject to a large degree of chance and serendipity. Now, artificial intelligence (AI) is promising to substantially boost the odds of identifying new drug candidates that can be commercialized.
已被应用到药物研发的各个阶段,医药领域对人工智能技术越来越重视,目前人工智能技术在药物研发中的应用主要表现为七个场景,分别是:靶点药物研发、候选药物挖掘、化合物筛选、预测ADMET性质、药物晶型预测、辅助病理生物学研究和发掘药物新适应症,人工智能可以直接为新药的研发做出贡献,AI+药物研发与传统模式相比,时间和...