A Glastonbury regular has been revealing the best clothes to pack if you’re heading to a festival this summer - and what you should be avoiding. Natalie McMullen, 33, says attendees will quickly realise that comfort is just important as style, and recommends wearing dresses, skorts (skirts with shorts attached underneath), and maxi skirts with slits in to marry the two together. “It’s things like that that mean you can still look amazing but you can enjoy the festival too”, she says. When it comes to footwear, however, don’t compromise. Converse, Vans, and Dr Martens have all proven a bad choice for McMullen, who now braves a pair of sturdy walking boots - even if they aren’t the top of her style wish list. Read More Care home hosts its own Glastonbury for ‘festival-loving’ residents 90-year-old man sets all-time record with final 1,162nd blood donation Prince Louis’ best moments from Trooping the Colour

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Scientists have discovered a way to test whether someone is diabetic by having them speak just a few sentences into their smartphone. A team from US-based Klick Labs created an AI model capable of distinguishing whether a person has Type 2 diabetes from six to 10 seconds of voice audio, with tests revealing an 89 per cent accuracy rate for women and 86 per cent for men. “Our research highlights significant vocal variations between individuals with and without Type 2 diabetes and could transform how the medical community screens for diabetes,” said Jaycee Kaufman, a research scientist at Klick Labs. “Current methods of detection can require a lot of time, travel and cost. Voice technology has the potential to remove these barriers entirely.” The study involved analysing 18,000 recordings in order to identify acoustic features that differentiated non diabetics from diabetics. Using signal processing, they were able to detect subtle changes in pitch and intensity that are imperceptible to the human ear. The tool could prove useful for the estimated 240 million adults around the world who are currently living with the condition without realising, according to figures from the International Diabetes Federation. The latest research demonstrates the ever-growing role AI plays in healthcare, with the convergence of machine learning models, data science helping to improve patient treatment and assisting medical discoveries. The researchers claim the artificial intelligence model, which requires basic health data from the subject in order to determine whether they are diabetic, could be expanded to diagnose other health conditions. “Our research underscores the tremendous potential of voice technology in identifying Type 2 diabetes and other health conditions,” said Yan Fossat, vice president of Klick Labs and leader of the research. “Voice technology could revolutionise healthcare practices as an accessible and affordable digital screening tool.” The technology was detailed in a study, titled ‘Acoustic analysis and prediction of Type 2 Diabetes Mellitus using smartphone-recorded voice segments’, published in the journal Mayo Clinic Proceedings: Digital Health. Read More 10 ways AI will change the world – from curing cancer to wiping out humanity