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.
Scientists from WMG at the University of Warwick, led by Eindhoven University of Technology in the Netherlands, developed a 1cm by 1cm wireless artificial aquatic polyp, which can remove contaminants from water. Apart from cleaning, this soft robot could be also used in medical diagnostic devices by aiding in picking up and transporting specific cells for analysis.
Ventilators, visors, volunteers and testing - More than a dozen more ways Warwick staff & students are helping respond to the pandemic
I promised to come back to you soon to tell you about even more about the work of many more of our dedicated staff and students I these challenging times and today I am keeping that promise. Here many more ways in which our students and staff are helping from ventilators, visors, and volunteering to helping produce more COVID-19 testing ,and providing online computing experiments for primary school children now learning at home.
In many cases we can’t name the individuals as we want to leave them in peace to get on with their work but where we can they are named below.
Once again I want to give my personal thanks to each and every one of them – they are all inspiring people that are helping us all in these difficult times.”
Professor Stuart Croft
Do passengers prefer autonomous vehicles driven like machines or like humans?– research finds that “peeking round” corners provides answers
Passenger and pedestrian confidence and acceptance will be key to the future and development of autonomous vehicles so researchers at WMG at the University of Warwick have just conducted and reported an experiment to see which autonomous vehicles driving style engendered the highest levels of confidence among autonomous vehicles passengers – driving with full machine efficiency, or driving in a way that emulates average human driving. The surprising result was that neither was optimal but that a blend of both might be best.
A new computer program that spots when information in a quantum computer is escaping to unwanted states will give users of this promising technology the ability to check its reliability without any technical knowledge for the first time.