作者: Alex Zhavoronkov , Polina Mamoshina
DOI: 10.1016/J.TIPS.2019.05.004
关键词:
摘要: First published in 2016, predictors of chronological and biological age developed using deep learning (DL) are rapidly gaining popularity the aging research community. These clocks can be used a broad range applications pharmaceutical industry, spanning target identification, drug discovery, data economics, synthetic patient generation. We provide here brief overview recent advances this important subset, or perhaps superset, that have been artificial intelligence (AI).