物候学
太空飞行
组学
精密医学
计算机科学
工程类
医学
生物信息学
生物
航空航天工程
病理
生物化学
基因
基因组
基因组学
出处
期刊:Omics A Journal of Integrative Biology
[Mary Ann Liebert]
日期:2024-07-17
标识
DOI:10.1089/omi.2024.0164
摘要
Large investments over many decades in genomics in diverse fields such as precision medicine, plant biology, and recently, in space life science research and astronaut omics were not accompanied by a commensurate focus on high-throughput and granular characterization of phenotypes, thus resulting in a "phenomics lag" in systems science. There are also limits to what can be achieved through increases in sample sizes in genotype-phenotype association studies without commensurate advances in phenomics. These challenges beg a question. What might next-generation phenomics look like, given that the Internet of Things and artificial intelligence offer prospects and challenges for high-throughput digital phenotyping as a key component of next-generation phenomics? While attempting to answer this question, I also reflect on governance of digital technology and next-generation phenomics. I argue that it is timely to broaden the technical discourses through a lens of political theory. In this context, this analysis briefly engages with the recent book "
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