Rapid, cost-effective test for T cell lymphoma and le...
A novel method to probe the constant regions of the T-cell receptor beta chains in order to characterise the nature of T-c...
Shaping Sound: patient specific waveguide arrays for ...
A method for creating an array of acoustic waveguides to modify the phase and/or amplitude of transmitted sound.
An automated deep learning system for ECG classificat...
An automated deep learning system to classify ECG waveforms.
Pure software power line communication solution for s...
A robust communication link between two or more power converters using their built-in capabilities, eliminating the need f...
Computational antibody modelling and prediction – S...
Improved usability of SAbDab-SAbPred tools for structural antibody modelling and prediction into a singularity container f...
Remote activation and delivery of tissue-specific che...
Nanoparticle bound thermo-responsive polymers enabling a temporal and spatial controlled delivery of chemotherapy drugs fo...
Machine learning framework using physiological data
A supervised machine learning framework that can summarise the clinical state of a patient from physiological data.
Classification of electrocardiogram datasets
End-to-end deep neural framework that can be used for biosignal waveform analysis to classify heart disease using ECG....
Layered double hydroxides
A new method uses layered double hydroxides (LDHs) as an oral drug delivery system.
Non-surgical distraction orthosis to treat hand arthr...
A non-surgical removable distraction orthosis for the treatment of hand arthritis and fractures.
Capturing carbon dioxide through a methane reforming ...
Activation and capture of carbon dioxide through a methane reforming process using microwave radiation as an energy source...
Federated meta-learning for healthcare applications
A new method, based on machine learning, for predicting a patient’s state in critical care.
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