📣 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.

Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes. (2024)

First Author: Lu HY

Attributed to: Improving women's lifelong health after high-risk pregnancy funded by UKRI FLF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/rbme.2023.3242261

PubMed Identifier: 37022834

Publication URI: http://europepmc.org/abstract/MED/37022834

Type: Journal Article/Review

Volume: 17

Parent Publication: IEEE reviews in biomedical engineering

ISSN: 1937-3333