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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

CUPERTINO, Calif.--(BUSINESS WIRE)--Jun 5, 2023--

JAKARTA The world's two biggest palm oil producers Indonesia and Malaysia will send top officials to the European

CARPINTERIA, Calif.--(BUSINESS WIRE)--Sep 18, 2023--

In recent years, the popularity of true crime documentaries has absolutely soared but now psychologists are warning that watching them to relax is a huge red flag. Thanks to streaming sites like Netflix, true crime documentaries have become a genre in and of themselves, but one expert has argued that watching them in order to fall asleep could be a sign of the harmful ways a person processes trauma. Doctor Thema Bryant explained how watching true crime for comfort because the trauma feels “familiar” is a sign that you may benefit from counselling. Sign up to our free Indy100 weekly newsletter Speaking on The Mel Robbins Podcast, Dr Bryant said: “If your idea of relaxing before you go to sleep is to watch three episodes of Law and Order, [then] I would encourage you to think about 'why is trauma relaxing to me?' “That's what it is. Harm, crime, violation, attacks, and that's what is going to soothe me into my bedtime.” @melrobbins If your idea of “relaxing” before bed is watching a few episodes of Law & Order (or any other #truecrime show), listen up. This was just ONE of the many incredible mic drop moments ? and knowledge bombs ? that @Dr Thema Bryant drops on the #melrobbinspodcast. Listen now!! ? “6 Signs You’re Disconnected From Your Power and How to Get It Back: Life-Changing Advice From the Remarkable Dr. Thema Bryant” ? in bio #melrobbins #podcast #trauma #traumatok #healing #bingewatching Dr Bryant explained that people often discuss their love of true crime in therapy with her and argued many people find it “normal and familiar”. She went on: “Some of us grew up in high-stress [situations], so people mistake peace for boring. And it's like, to come home to yourself, you have to lean into the discomfort because it’s going to feel unfamiliar.” In response to the podcast clip shared on TikTok, many reflected on their own relationship with this kind of television. One person wrote: “Wow that is exactly what I watch to relax. This was so enlightening.” Another argued: “The trauma isn't relaxing to me – it's the justice the characters/real people often get that I never did in my own life.” Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

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NEWBERG, Ore.--(BUSINESS WIRE)--Jun 22, 2023--