Dr Javier Escudero and Dr Hamed Azami from the Institute for Digital Communications (IDCOM), in collaboration with Dr Alberto Fernández (from the Laboratory of Cognitive and Computational Neuroscience, Spain) have received the prestigious Nightingale Award for the best paper published in 2017 in Medical & Biological Engineering & Computing.
Glioblastoma multiforme (GBM) is the most common and most malignant primary brain tumour.The aim of this project is to develop and test a range of biocompatible sensors – amenable to neurosurgical implantation – that can detect tumour regrowth in near-real time and with high spatial resolution.
Sensing the complex impedance of biological material such as cells or tissue, in-vivo or in the lab, is a powerful technique which has a long history in biomedical engineering. A recent PhD project at the University of Edinburgh has demonstrated the application of impedance sensing in cell based studies of disease models in retinal and liver cells. This PhD project would follow up on this promising work to develop new methods for applying impedance sensing in biomedical applications.