首页|A systematic evaluation of the language-of-viral-escape model using multiple mac hine learning frameworks
A systematic evaluation of the language-of-viral-escape model using multiple mac hine learning frameworks
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Predicting the evolutionary patterns of emerging and endemic viruses is key for mitigating their spreadin host populations.“In particular, it is critical to rapidly identify mutations with the potential for immune escape orincreased disease burden (variants of concern). Knowing whi ch circulating mutations are such variantsof concern can inform treatment or mi tigation strategies such as alternative vaccines or targeted socialdistancing.
NETL
NSTL
