📣 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.

Predicting Cardiovascular Stent Complications Using Self-Reporting Biosensors for Noninvasive Detection of Disease. (2022)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/advs.202105285

PubMed Identifier: 35322587

Publication URI: http://europepmc.org/abstract/MED/35322587

Type: Journal Article/Review

Volume: 9

Parent Publication: Advanced science (Weinheim, Baden-Wurttemberg, Germany)

Issue: 15

ISSN: 2198-3844