首页> 外文期刊>European BioPharmaceutical Review >Focusing on Target Safety: The development of new medicines is long, laborious, costly, and far too often results in failure, but the rise of artificial intelligence may be the solution to many, if not all, of these issues
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Focusing on Target Safety: The development of new medicines is long, laborious, costly, and far too often results in failure, but the rise of artificial intelligence may be the solution to many, if not all, of these issues

机译:专注于目标安全性:新药的发展是长期的,艰苦的,昂贵的,而且往往导致失败,但人工智能的兴起可能是许多,如果不是全部的解决方案

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摘要

Despite the increase in drug approvals in recent years, drug discovery and development remain an uncertain and costly endeavour with depressingly high rates of failure (1).The era of Big Data and artificial intelligence (Al) offers the potential to manipulate huge amounts of data and discern patterns, offering scientists better insights and supporting better decisions than previously. Consequently, stakeholders across all disciplines are exploring ways to incorporate these powerful new approaches into their thinking. The identification of better drug targets, safer and more effective molecules, and improved patient selection should lead to better drugs as well as greater efficiency and decreased costs.
机译:尽管近年来毒品批准增加,但药物发现和发展仍然是一个不确定和昂贵的失败率(1)。大数据和人工智能(AL)的时代提供了操纵巨额数据的潜力 和辨别模式,为科学家提供更好的见解和支持比以前更好的决定。 因此,所有学科的利益相关者正在探索将这些强大的新方法纳入他们的思想。 鉴定更好的药物目标,更安全和更有效的分子,以及改善的患者选择应导致更好的药物以及更高的效率和降低成本。

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