#科技头条#【AI新突破:预测人类干细胞布局】

#科技头条#【AI新突破:预测人类干细胞布局】即使干细胞在遗传上是相同的,干细胞的结构也可能发生巨大变化,这对于预测癌症等疾病的发病至关重要。近日,艾伦研究团队推出了一个在线数据库,即艾伦细胞资源管理器,通过深度学习AI预测人类干细胞的布局。借助于基因编辑,该团队学会了如何训练AI。在将成体细胞恢复到干细胞后,研究人员对基因进行标记,使细胞结构发光并跟踪其布局。这有助于确定细胞结构位置之间的明确关系,从而预测干细胞如何发展。该突破有助于了解癌症及其他疾病背后的因素,并有望帮助找到更有效的治疗方法。

AI predicts the layout of human stem cells

It could help understand factors behind cancer and other diseases.
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The structures of stem cells can vary wildly, even if they're genetically identical -- and that could be critical to predicting the onset of diseases like cancer. But how do you know what a stem cell will look like until it's already formed? That's where the Allen Institute wants to help: it's launching an online database, the Allen Cell Explorer, where deep learning AI predicts the layout of human stem cells. You only need a pair of identifying structures, like the position of the nucleus, to fill out the rest of the cell's innards.

The team learned how to train its AI thanks to gene editing. After reverting adult cells to stem cells, researchers tagged genes to make cell structures glow and track their layout. This helped identify a clear relationship between the locations of cell structures, making it possible to predict how a stem cell would develop. It was just a matter of teaching the AI to understand this relationship, using real-world examples to verify that it was on the right track.

There are thousands of images at the Cell Explorer right now, and scientists plan to expand it with snapshots of stem cells as they grow into their adult forms. That could pinpoint key processes and help understand how certain diseases develop. If the database proves successful, you could see more effective treatments for conditions that were once relatively mysterious.

 

https://www.engadget.com/2017/04/05/ai-predicts-stem-cell-layouts/


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