
Deep clustering for phenotyping complex diseases
An automated modelling platform for detecting the phenotypic subgroups in patients suffering from complex diseases.
An automated modelling platform for detecting the phenotypic subgroups in patients suffering from complex diseases.
An all-optical element which can mimic the associative learning process of humans and animals.
A new polarisation-sensitive detector of terahertz waves, ideal for use in time-domain spectroscopy systems.
Stabilised viral fusion proteins for improved vaccines and protective antibodies against human and veterinary pathogens....
A method to measure the brain response to nitrites as a biomarker of acute brain injury.
A new and unconventional approach to high-pressure vane design delivers improved engine/stage efficiency for gas and steam...
An attention-based early warning score to identify in-hospital clinical deterioration using routinely collected data in el...
Eco-friendly method to produce designer metal-organic frameworks for low-cost sensors.
A method that uses inkjet printing technology to create designs and motifs using polymer-dispersed liquid crystals.
An algorithm combining serological and genetic diagnostic data to improve patient stratification in those suffering from r...
Locked-in polymeric liquid crystal (LC) structures facilitate a fast, direct transition between high- and low-energy LC st...
Complex liquid crystal profiles within a cell can be made to appear and disappear through one, simple voltage application...