| Literature DB >> 32512174 |
Brenna Osborne1, Daniela Bakula1, Michael Ben Ezra1, Charlotte Dresen1, Esben Hartmann1, Stella M Kristensen1, Garik V Mkrtchyan1, Malte H Nielsen1, Michael A Petr1, Morten Scheibye-Knudsen2.
Abstract
Ageing is arguably the most complex phenotype that occurs in humans. To understand and treat ageing as well as associated diseases, highly specialised technologies are emerging that reveal critical insight into the underlying mechanisms and provide new hope for previously untreated diseases. Herein, we describe the latest developments in cutting edge technologies applied across the field of ageing research. We cover emerging model organisms, high-throughput methodologies and machine-driven approaches. In all, this review will give you a glimpse of what will be pushing the field onwards and upwards.Entities:
Keywords: Ageing; High-throughput methods; Machine learning; Model organisms
Mesh：
Year: 2020 PMID： 32512174 DOI： 10.1016/j.arr.2020.101094
Source DB: PubMed Journal: Ageing Res Rev ISSN： 1568-1637 Impact factor: 10.895