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Victoria’s Secret has launched a new campaign, which brings back models from the lingerie brand’s once-iconic “Angels” list alongside some newer faces. Launching its new The Icon by Victoria’s Secret collection on Thursday (10 August), the brand has also been teasing its film-style fashion show, the Victoria’s Secret World Tour, which will stream on Prime Video on 26 September. The campaign is part of the company’s major rebrand, after it was criticised for promoting unrealistic body image with its non-inclusive culture and accused of failing to protect its models against sexual misconduct. In response to the criticism, Victoria’s Secret got rid of its “Angels” team in 2021 and replaced it with the “VS Collective”, a group of seven successful women. The “Angels” were a ever-growing group of some of the most famous and in-demand models of the time, and included the likes of Tyra Banks, Rosie Huntington-Whitley, Chanel Iman, Heidi Klum, Lily Aldridge and more. As the brand strives to improve ethnic and body diversity among its models, it chose seven successful women to be part of the collective, not all of them fashion models. It includes models Adut Akech and Paloma Elsesser – who both feature in the new campaign – as well as journalist Amanda de Cadenet, athlete Eileen Gu, professional footballer Megan Rapinoe, actor Priyanka Chopra Jones, and model Valentina Sampaio. Victoria’s Secret released a black-and-white promotional video for its latest campaign on social media, revealing all the famous faces who are participating. Here are all the models in Victoria’s Secret new Icons campaign: Naomi Campbell While Naomi Campbell was a frequent face on Victoria’s Secret’s legendary fashion shows, she was never an Angel. As reported by People in 2020, the supermodel told The Sun that the brand “could not afford” her. Gisele Bundchen Gisele Bundchen became an Angel in 1999. She walked her last Victoria’s Secret Runway Show in 2005. Candice Swanepoel The South African model became an Angel in 2010. She has also previously been on the cover of the brand’s Swim Catalogue and donned the US$10m “Fantasy Bra” on the runway in 2013. Adriana Lima Adriana Lima was an Angel for nearly two decades before she hung up her wings in 2018. The year before she ended her time as an Angel, the Brazilian model was named “the most valuable Victoria’s Secret Angel”. Adut Akech Victoria’s Secret announced that Adut Akech had joined its family in June 2022. At the time, the South Sudanese and Australian model said on Instagram: “To be working alongside this brand that is continuing to transform to being a brand that advocates for all women, telling our stories and making the real positive changes that it should’ve done a while ago.” Emily Ratajkowski Emily Ratajkowski has previously modelled on Victoria’s Secret runways. Throughout her career, she has appeared on numerous magazine covers, including Vogue Australia and Sports Illustrated’s swimsuit issues, and has strutted down the runway for Marc Jacobs, Miu Miu, Dolce & Gabbana, Versace, and other designers. Hailey Bieber Influencer Hailey Bieber joined the VS Collective in 2021, although she has never walked a Victoria’s Secret show before. She wrote at the time: “I’m humbled to be in the company of these amazing women, many of whom have inspired me in countless ways with their own stories. I look forward to helping to create positive change as part of the VS collective.” Sui He Chinese model Sui He was the first East Asian model to open a Ralph Lauren show and only the second model of Chinese descent to walk Victoria’s Secret Fashion Show. Paloma Elsesser One of the “founding members” of the VS Collective, Paloma Elsesser describes herself as a “mixed Black fem in a size 14 body”. Speaking to the New York Times after she joined the group, Elsesser said it gave her a platform to “make radical change” and is lobbying for the brand to increase its sizing to XXXXXL. Read More Fake meat is dying, but that shouldn’t mean the end of veganism Lil Tay: Mystery surrounds ‘death’ of 14-year-old Canadian influencer Woman behind ‘not real’ plane tirade identified as marketing executive with $2m home Government urged to remove VAT from period pants How to get the ‘quiet luxury’ look on the high street Rihanna breastfeeds baby RZA as she launches Savage X Fenty maternity wear

Scientists have developed an artificial intelligence (AI) tool that can classify four subtypes of Parkinson’s disease with up to 95% accuracy. Researchers from the Francis Crick Institute and the UCL Queen Square Institute of Neurology in London “trained” a computer program to recognise the subtypes of the condition using images of stem cells from patients. The team said their work, published in the journal Nature Machine Intelligence, could pave the way for personalised medicine and targeted drug discovery. Sonia Gandhi, assistant research director and group leader of the Neurodegeneration Biology Laboratory at the Crick, said: “We understand many of the processes that are causing Parkinson’s in people’s brains. The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine Sonia Gandhi, Francis Crick Institute “But, while they are alive, we have no way of knowing which mechanism is happening, and therefore can’t give precise treatments. “We don’t currently have treatments which make a huge difference in the progression of Parkinson’s disease. “Using a model of the patient’s own neurons, and combining this with large numbers of images, we generated an algorithm to classify certain subtypes – a powerful approach that could open the door to identifying disease subtypes in life. “Taking this one step further, our platform would allow us to first test drugs in stem cell models, and predict whether a patient’s brain cells would be likely to respond to a drug, before enrolling into clinical trials. “The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine.” Parkinson’s is a condition in which parts of the brain become progressively damaged over many years. Symptoms include involuntary shaking of particular parts of the body, slow movement, and stiff and inflexible muscles. But there is also a wide range of other physical and psychological symptoms such as depression and anxiety, problems sleeping, and memory problems. These vary from person to person due to differences in the underlying mechanisms causing the disease. The researchers said that until now, there was no way to accurately differentiate Parkinson’s subtypes. It means people are given nonspecific diagnoses and do not always have access to targeted treatments, support or care, the team added. For the study, the researchers generated stem cells, which have the ability to develop into specialised cell types in the body, from patients’ own cells. The team then used those cells to chemically create four different subtypes of Parkinson’s: two involving pathways leading to toxic build-up of a protein called alpha-synuclein and two involving pathways associated with dysfunctional mitochondria, the cell’s battery packs. Working with the British technology company Faculty AI, the team developed machine-learning algorithms which were able to accurately predict the Parkinson’s subtype when presented with images it had not seen before. James Evans, a PhD student at the Crick and UCL, and first co-author of the study, said: “Now that we use more advanced image techniques, we generate vast quantities of data, much of which is discarded when we manually select a few features of interest. “Using AI in this study enabled us to evaluate a larger number of cell features, and assess the importance of these features in discerning (the) disease subtype. “Using deep learning, we were able to extract much more information from our images than with conventional image analysis. “We now hope to expand this approach to understand how these cellular mechanisms contribute to other subtypes of Parkinson’s.” Read More Charity boss speaks out over ‘traumatic’ encounter with royal aide Ukraine war’s heaviest fight rages in east - follow live Oxford scientists find no evidence to suggest Facebook not good for wellbeing Many adults would struggle to understand video-sharing platforms’ rules – Ofcom Ozzy Osbourne PlayStation tweet which failed to reveal link to Sony banned

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