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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

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By Jaiveer Shekhawat Crytocurrency exchange Coinbase Global is launching a digital asset lending platform aimed at large institutional

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Minuscule traces of metal from space junk that's designed to be disposable are invisibly polluting the Earth's atmosphere, a new study has found. In recent times, spacecrafts launched into space have been designed so that they fall out of orbit and fall back down to Earth after their intended use. So instead of the materials crashing on land, they can burn up in the upper atmosphere. Although the debris of rockets and satellites burn up when re-entering the planet's atmosphere, the consequences of metal vapour being left behind currently remain unknown. But given the amount of space exploration taking place, the amount of metal vapour is expected to rise in the years to come. Physicist Daniel Murphy of the National Oceanic and Atmospheric Administration (NOAA) has led a team of researchers to investigate what effects this metal vapour could have as well as its impact over time and this study was published in Proceedings of the National Academy of Sciences, as per Science Alert. He listed "iron, silicon, and magnesium from the natural meteoric source" as the current refractory material in stratospheric particular. Murphy has warned how this composition could be affected by the metal vapour from space junk. "However, the amount of material from the reentry of upper-stage rockets and satellites is projected to increase dramatically in the next 10 to 30 years," he wrote. "As a result, the amount of aluminum in stratospheric sulfuric acid particles is expected to become comparable to or even exceed the amount of meteoric iron, with unknown consequences for inclusions and ice nucleation." To find out if metal vapour remained, Murphy and his team took and analyzed 500,000 stratospheric aerosol droplet samples to see if they had traces of spacecraft metals. Aerosols contain sulfuric acid droplets made from the oxidation of the carbonyl sulfide gas and in the atmosphere, this can appear naturally or as a pollutant. Metal and silicon traces can be found in these droplets too, acquired from meteors which vaporize upon atmospheric entry. Around 20 metals were discovered from this research, and while some metals had similar ratios to the vaporizing meteors, other metals such as lithium, aluminium, copper, and lead exceeded the anticipated amounts. Particles from vaporized spacecraft were found in 10 per cent of stratospheric aerosols over a certain size while other common spacecraft metals such as niobium and hafnium were also present. Consequently, these traces of spacecraft particles could affect how water freezes into ice in the stratosphere, and stratospheric aerosol particles could change in size. Due to more space exploration planned in an "era of rapid growth" for the industry, the researchers predict "the percentage of stratospheric sulfuric acid particles that contain aluminum and other metals from satellite reentry will be comparable to the roughly 50 per cent that now contain meteoric metals." Sign up to our free Indy100 weekly newsletter 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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