An international team of researchers have developed a low-cost sensor made from semiconducting plastic that can be used to diagnose or monitor a wide range of health conditions, such as surgical complications or neurodegenerative diseases.
Scientists have solved the riddle behind one of the most recognisable, and annoying, household sounds: the dripping tap. And crucially, they have also identified a simple solution to stop it, which most of us already have in our kitchens.
Almost half of young people in the UK now go to university. Who gets in – and what and where they study – affects a person’s place in society and their future earnings, as well as the skills available to the job market. Can big data help the ‘fifty percenters’ make one of the most important decisions of their lives – and advance the success of the UK’s graduate economy?
Three 11,500-year-old deer skull headdresses – excavated from a world-renowned archaeological site in Yorkshire – will go on display, one for the first time, at Cambridge University’s Museum of Archaeology and Anthropology (MAA) from today.
A new synthetic enzyme, crafted from DNA rather than protein, ‘flips’ lipid molecules within the cell membrane, triggering a signal pathway that could be harnessed to induce cell death in cancer cells.
Cambridge and Nokia Bell Labs establish new research centre to advance AI-supported multi-sensory personal devices20 Jun 2018
The long-sought dream of wearable and mobile devices that will interpret, replicate and influence people’s emotions and perceptions will soon be a reality thanks to a collaboration between the University and Nokia Bell Labs.
While self-employment may not be the labour market remedy some want to believe, new research is revealing its global prevalence and intergenerational roots.
A plan to build a global network of STEM ambassadors to encourage women and girls into science, put forward by a Cambridge academic to the United Nations, will be discussed at the UNSPACE+50 event this week.
An algorithm to monitor the joints of patients with arthritis, which could change the way that the severity of the condition is assessed, has been developed by a team of engineers, physicians and radiologists led by the University of Cambridge.