TL;DR: A lifetime license to Microsoft Office Home and Business for Mac 2021 is on

An Amazon worker and union organizer has been given her job back after she appealed her firing by the e-commerce giant earlier this month.

Shares of Digital World Acquisition Corp, which has agreed to merge with Donald Trump's media company, fell 5%

Seven tech giants, including Amazon and Apple, have informed the European Union they meet the threshold to come under landmark new rules to curb their...

Carrasco FIFA 23 challenges are now live as part of a Flashback objective set during LaLiga Team of the Season. Here's how to complete each objective.

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

As the biggest YouTuber out there, MrBeast is known for his eye-catching thumbnails. However, he recently noted one change that is causing even more people to view his videos. The 25-year-old - whose real name is Jimmy Donaldson - has over 181m subscribers and so knows what causes viewers to click on his latest piece of elaborate content. Often, MrBeast - like many other YouTubers - can be seen pulling a shocked face to attract and intrigue viewers to watch in his thumbnail images. But after testing out different versions for his videos, he shared how the classic pose isn't as effective as he thought, explaining that thumbnails with his mouth shut do better. “I closed my mouth on all my thumbnails and the watch time went up on every video lol,” MrBeast said on Twitter/X. “My mouth is now closed in all my thumbnails but the war has just begun. We must not rest until mouths are closed in everyone’s thumbnails." In the tweet, he shared a screenshot of the different combinations where YouTube declared the thumbnails of him flashing a smile were a "winner," compared to the traditional shocked face. "Now all YouTubers will shut their mouths," one user jokingly tweeted, to which the MrBeast replied: "Thank god." When someone asked the YouTuber if the shocked face thumbnail era was over, he answered: "Seems like it, here’s more results. Now that I can actually A/B test thumbnails I don’t have to guess and I just test and see what people want." The YouTuber admitted: "My mouth would have closed years ago if I had this tool." 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.

ST. PETERSBURG, Fla.--(BUSINESS WIRE)--May 9, 2023--

Investor support for environmental and social shareholder proposals slumped to the lowest in six years amid the Republican

CITY OF INDUSTRY, Calif.--(BUSINESS WIRE)--May 24, 2023--

Paige Spiranac's recent post revealed that she is not only a golf pro but is also great at making fans laugh

TL;DR: The Complete 2023 Cybersecurity Developer and IT Skills Bundle is on sale for £55.06,