New deep learning algorithm can pick up genetic mutations and DNA mismatch repair deficiency in colorectal cancers more efficiently
A new deep learning algorithm created by researchers from the University of Warwick can pick up the molecular pathways and development of key mutations causing colorectal cancer more accurately than existing methods, meaning patients could benefit from targeted therapies with quicker turnaround times and at a lower cost.
A total of 37 University of Warwick researchers from across the fields of mathematics, life sciences, statistics, computer science, business, medicine and engineering have been named as Fellows of the Alan Turing Institute this year.
A new partnership between Eatron Technologies and WMG, University of Warwick has been formed for the COBRA ('Cloud/Onboard Battery Remaining useful life Algorithm) project, thanks to the funding from the Faraday Battery Challenge.
Robots that resemble organs are known as soft robots, and in order for them to function they must be made of a flexible material, however a material that can also heal itself would be a bonus if wear and tear was to occur. Researchers from WMG, University of Warwick have designed a self-healing polymers for such devices.
Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of paediatric brain tumours a UK-based multi-centre study, including WMG at the University of Warwick has found. This means that the tumour can be characterised and treated more efficiently.