📣 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.

Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews. (2022)

First Author: Gaba F

Attributed to: Evaluating new healthcare technologies in cancer funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/diagnostics12051028

PubMed Identifier: 35626184

Publication URI: http://europepmc.org/abstract/MED/35626184

Type: Journal Article/Review

Volume: 12

Parent Publication: Diagnostics (Basel, Switzerland)

Issue: 5

ISSN: 2075-4418