今天给大家介绍一篇由ZhaoyiChen, JiangBian等人2020年12月24日发表在Drug Discovery Today上的一篇综述文章” Applications of artificial intelligence in drug development using real-world data”。FDA一直在积极推动真实世界数据(RWD, real-world data )在药物开发中的应用。RWD可以产生重要的真实世界证据,反映治疗方...
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. Fewer than 10% of drug candidates that make it to clini...
今天给大家介绍一篇由ZhaoyiChen, JiangBian等人2020年12月24日发表在Drug Discovery Today上的一篇综述文章” Applications of artificial intelligence in drug development using real-world data”。FDA一直在积极推动真实世界数据(RWD, real-world data )在药物开发中的应用。RWD可以产生重要的真实世界证据,反映治疗方...
Meanwhile, artificial intelligence (AI), especially machine- and deep-learning (ML/DL) methods, have been increasingly used across many stages of the drug development process. Advancements in AI have also provided new strategies to analyze large, multidimensional RWD. Thus, we conducted a rapid ...
Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of developing new drugs. Deep learning (DL)-based approaches are increasingly being used in all stages of drug development as DL technology advances, and drug...
development seems, there's still room for some healthy skepticism." She said, "the development of AI-assisted pharmaceuticals raises questions about how comfortable people should be with these new research methods. In the long run, how will AI-designed drugs differ from those developed by humans...
While AI can automate countless tasks across the drug development ecosystem, it is not a replacement for human expertise. AI tools must always have a "human in the loop" to perform as intended. That person, or ideally people, should not be passive, either. Humans should be a...
development seems, there's still room for some healthy skepticism." She said, "the development of AI-assisted pharmaceuticals raises questions about how comfortable people should be with these new research methods. In the long run, how will AI-designed drugs differ from those developed by humans...
However, the lack of advanced technologies limits the drug development process, making it a time-consuming and expensive task, which can be addressed by using AI [15]. AI can recognize hit and lead compounds, and provide a quicker validation of the drug target and optimization of the drug ...
The overarching question that PreScouter addresses in this intelligence brief is: what are the applications of artificial intelligence (AI) in drug discovery and development, and can we make this process more efficient using AI? Share Report highlights: ...