
Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease (Adv. Sci. 15/2022)
Author(s) -
Hoare Daniel,
Tsiamis Andreas,
Marland Jamie R. K.,
Czyzewski Jakub,
Kirimi Mahmut T.,
Holsgrove Michael,
Russell Ewan,
Neale Steven L.,
Mirzai Nosrat,
Mitra Srinjoy,
Mercer John R.
Publication year - 2022
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202270098
Subject(s) - biosensor , stent , disease , medicine , nanotechnology , materials science
Self‐Reporting Biosensors In article number 2105285, John R. Mercer and co‐workers develop an implantable miniaturised sensor and telemetry system that can detect and discern different cell types associated with in stent restenosis, distinguish sub‐plaque components and differentiate blood from blood clot. This work shows that microfabricated sensors can be used for both stent and grafts implantables to provide clinically actionable data.