Your online search for certain mental health terms may unexpectedly lead to malware. New research

If you’ve ever found yourself needing to write down every last one of your thoughts

Here's why was xQc shocked when he received a donation from a fan

SAVE 20%: As of July 10, the JBL Clip 3 is available for $39.95, which

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MONTRÉAL & HELSINKI--(BUSINESS WIRE)--Jun 5, 2023--

Some Amazon corporate workers have announced plans to walk off the job next week over frustrations with the company's return-to-work policies, among other issues, in a sign of heightened tensions inside the e-commerce giant after multiple rounds of layoffs.

Just one month after China announced it would curb exports of germanium and gallium, both essential for making semiconductors, its overseas shipments of the materials fell to zero.

Andrew Tate tells his supporters he will 'force' himself 'to breathe' when the time comes

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

Apple is about to launch four new iPhones, two new Watches and maybe more besides. The launch of the iPhone 15 is the biggest event in Apple’s year, and could bring extra controversy this year, given a widely rumoured higher price and new charging port at the bottom of the phone. Alongside those updates, Apple is rumoured to be planning new charging technology, faster chips, better battery life and design tweaks for the higher-end, Pro versions of the phone. In all, there is expected to be four versions of the iPhone 15: the base model, the iPhone 15 Plus, the Pro and Pro Max. In addition to those new products, Apple is widely expected to update both the normal and Ultra version of the Apple Watch. They are expected to receive small updates, with the possible introduction of new chip technology. The AirPods may also feature in the event. They are also expected to receive an update to swap the Lightning charging port in the bottom for USB-C – beginning the process of getting rid of a charging technology that has been used for more than a decade in Apple’s most popular products. The event will be live streamed from Apple’s California headquarters, beginning at 10am local pacific time, 1pm eastern, or 6pm in the UK. You can follow all the latest news here.

As blockbuster video games continue trending toward gritty maturity, Nintendo remains committed to the radical