📣 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.

iGWAS: image-based genome-wide association of self-supervised deep phenotyping of human medical images (2022)

First Author: Xie Z
Attributed to:  UK Biobank (core renewal) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2022.05.26.22275626

Publication URI: http://dx.doi.org/10.1101/2022.05.26.22275626

Type: Preprint