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TZID:Asia/Shanghai
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DTSTART:20000101T000000
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UID:20260709T063327Z - 51769@iZuf69e0i0z4ibdboqb33jZ
DTSTART;TZID=Asia/Shanghai:20230812T020000
DTEND;TZID=Asia/Shanghai:20230812T040000
CREATED:20260709T063327Z
DESCRIPTION:<a href="http://popcornclubshanghai.com/event/how-ai-designs-dr
 ugs-graph-neural-network-40949/register">How AI Designs Drugs: Graph Neura
 l Network  人工智能用于药物研发:图神经网络</a>\nAre you fam
 iliar with the graph neural network? It's one of the many methods in which
  AI thinks and it's fascinating! So what is it? And what is its connection
  to drugs?_x000D_ _x000D_ Until recently\, the average drug research and d
 evelopment took about twenty years. They'd need ten years for research and
  ten more years for clinical trials until market launch. Now\, the researc
 h period has been incredibly compressed to just one to two years! How? Thi
 s is\, once again\, because of the deep learning algorithm! It's super-hum
 an efficiency is being utilized now in designing new drugs._x000D_ _x000D_
  So what are the basic mechanisms of graph neural networks? How do they de
 sign new chemicals? What's their thought process? How can we use this know
 ledge to better understand AI\, deep learning\, the world of medicine\, an
 d the future!_x000D_ _x000D_ 你熟悉图神经网络吗?这是人工智
 能思考的众多方法之一，它很迷人!那么它是什么呢?它和
 药物研发有什么关系?_x000D_ _x000D_ 直到最近，药物研究和
 开发平均需要20年左右的时间。他们需要10年的研究和10
 年以上的临床试验，直到市场投放。现在，研究周期被
 不可思议地压缩到只有一到两年!如何?这又要归功于深度
 学习算法!它的超人类效率现在正被用于设计新药。_x000D_
  _x000D_ 那么图神经网络的基本机制是什么呢?他们如何设
 计新的化学用品?他们的思维过程是怎样的?我们如何利用
 这些知识来更好地理解人工智能、深度学习、医学世界
 和未来!
DTSTAMP:20260709T063327Z
LOCATION:China\,\, Shanghai
SUMMARY:How AI Designs Drugs: Graph Neural Network  人工智能用于药物研发:图神经网络
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