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人工智能如何在下一次大流感爆发前阻止它?

How AI is stopping the next great flu before it starts

Immune systems across the globe have been working overtime this winter as a devastating flu season has taken hold. More than 180,000 Americans have been hospitalized and 10,000 more have died in recent months, according to the CDC, while the coronavirus (now officially designated COVID-19) has spread across the globe at an alarming rate. Fears of a growing worldwide flu outbreak have even prompted the precautionary cancelling of MWC 2020 — barely a week before it was slated to open in Barcelona. But in the near future, AI-augmented drug development could help produce vaccines and treatments fast enough to halt the spread of deadly viruses before they mutate into global pandemics.

随着毁灭性的流感季节的到来,全球的免疫系统在这个冬天加班加点地工作,美国疾病控制与预防中心的数据显示,近几个月来已有超过18万美国人住院治疗,另有1万多人死亡;而与此同时,冠状病毒(现在官方指定为COVID-19)在全球范围内以惊人的速度蔓延;在全球范围内对流感爆发的恐惧甚至促使人们提前取消了原定在巴塞罗那开幕的2020年世界移动大会,但在不久的将来,增强了人工智能的药物开发可能有助于生产足够快的疫苗和治疗方法,在致命病毒变异成全球大流行之前阻止它们的传播。

With the help of machine learning systems, biomedical researchers can essentially flip the trial-and-error methodology on its head. Instead of systematically trying each potential treatment manually, researchers can use an AI to sort through massive databases of candidate compounds and recommend the ones most likely to be effective.

在机器学习系统的帮助下,生物医学研究人员可以彻底改变这种反复试验的方法;研究人员可以使用人工智能对大量候选化合物数据库进行分类并推荐最有可能有效的化合物,而不是系统地手动尝试每一种可能的治疗方法。

Read more at engadget

翻译:SGCS翻译组

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