📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging. (2021)

First Author: Ning K

Attributed to: UK Biobank (core renewal) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.neurobiolaging.2021.03.014

PubMed Identifier: 34098431

Publication URI: http://europepmc.org/abstract/MED/34098431

Type: Journal Article/Review

Volume: 105

Parent Publication: Neurobiology of aging

ISSN: 0197-4580