Introduction to Bioengineering and Project IMPACT
You can watch this video on Media Hopper or on YouTube.
Primary Interest … Biomedical Sensing and Actuating
Silicon technology can now be integrated with sensors of temperature, pH, oxygen concentration and of biological molecules. This allows chips to be developed that can monitor the body from the inside and in great detail. This is the principle that drove the 2013-2019, £5.2M, EPSRC Programme Grant Project, IMPACT - Implanted Microsystems for Personal Anti-Cancer Treatment.
- That miniaturised Oxygen sensors can make clinically-useful measurements of pH and oxygen saturation in vitro and in small(rat) and large (sheep) animal models
Implantable Microsystems for Personalised Anticancer Therapy
(in CMOS CIRCUITS FOR BIOLOGICAL SIGNAL PROCESSING, 2018)
- The sensors can also be used to monitor healing in internal, post-operative wounds – demonstrated in small (rat) and large (pig) animal models.
In vivo validation of a miniaturized electrochemical oxygen sensor for measuring intestinal oxygen tension
(AMERICAN JOURNAL OF PHYSIOLOGY, 2019)
- That electrochemical sensors can be miniaturised and implanted to measure specific biomarkers, including Caspases, Trypsine and Human Neutrophil Elastase
Electrochemical sensing of human neutrophil elastase and polymorphonuclear neutrophil active
(BIOSENSORS AND BIOELECTRONICS, 2018)
- That is possible to develop an inert “pro drug” that, when injected systemically, can be activated ELECTRONICALLY by and implant chip at the site of the tumour to produce a cytotoxic drug such as Oxalyplatin (used for colorectal cancer) and Cisplatin (used for a wide range of solid cancers). This will reduce or remove the side-effects of conventional chemotherapy
Electrodrugs: an electrochemical prodrug activation strategy
(ROYAL SOCIETY CHEMISTRY COMMUNICATIONS)
Ancillary Interest - Silicon-Biology Interface
Particular interests include bio-sensing and the interface between live nerve cells and silicon ships.
Engineering neuronal networks on photolithographically defined, biologically activated silicon substrates
Ancillary Interest - Neural Computation and Machine Learning
Algorithms, Architectures and Applications of Artificial Neural Networks - with particular interests in Spiking Computation and Probabilistic Computation.
Synaptic Weight Noise During MLP Training: Fault Tolerance and Training Improvements
(IEEE TRANS NEURAL NETWORKS)
Previous Research - Novel Approaches to VLSI Design
Neural and other "funny" VLSI - to address problems of computation with the noisy, imperfect medium that is Deep-Sub-Micron VLSI.
Multi-Layer Perceptron Learning Optimised for On-Chip Implementation - a Noise-Robust System
(NEURAL COMPUTATION, 1992)
Publications on Edinburgh Research Explorer