With former top 100 recruit Tobias Merriweather entering the transfer portal, here are a few intriguing potential destinations for the former Notre Dame wide receiver. Where could he end up?

Terrified Pennsylvania residents are stocking up on guns after learning that escaped murderer Danelo Cavalcante is now armed with a rifle while on the run. On Tuesday, officials confirmed that Cavalcante broke into a garage at a home in East Nantmeal Township on Monday and stole a .22 caliber rifle. The owner spotted the fugitive and fired seven shots at him as he fled. With the manhunt now entering its 14th day and police coming under fire for failing to capture him, residents appear to be taking matters into their own hands with gun shop owners in Chester County telling ABC6 that there has been an uptick in gun sales in the local area. Cavalcante escaped Chester County Prison on 31 August – days after he was sentenced to life for stabbing his ex-girlfriend Deborah Brandao, 33, to death. He is also wanted for a 2017 murder in Brazil. In an interview with The New York Times on Tuesday, Cavalcante’s mother Iracema Cavalcante defended her son’s actions, saying that he killed Brandao after she reportedly threatened to tell American authorities that he was being sought by Brazilian police. Read More Where has Danelo Cavalcante been spotted since his Pennsylvania jailbreak? Fugitive Danelo Cavalcante’s mother defends his murders and says ‘everyone is lying about him’ Dog the Bounty Hunter may join search for Danelo Cavalcante

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

She made this unfounded claim even before an official cause of death had been established.

By Kanishka Singh WASHINGTON Nearly three in four Jewish college students in the United States who responded to

NEW YORK--(BUSINESS WIRE)--Sep 19, 2023--

"It is a happy tale," promises a disfigured Willem Dafoe in the first act of

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VIDEO: Mike Lindell is back with a new summit and things are still going great.

Premier League referees’ boss Jon Moss apologised to Gary O’Neil and told him Wolves had been denied a “blatant” stoppage-time penalty in their 1-0 Premier League defeat to Manchester United at Old Trafford, according to the Wolves boss. United’s debutant goalkeeper Andre Onana clattered into Sasa Kalajdzic deep into time added on, but Simon Hooper did not react and VAR Michael Salisbury deemed there was no foul, with an incredulous O’Neil instead booked for his reaction. O’Neil said after the match he though Onana was trying to take Kalajdzic’s head off, and then revealed he had received an immediately apology from Moss. “Having just spoken to Jon Moss, fair enough he came straight out and said it was a blatant penalty and it should have been given,” O’Neil said. “I sometimes feel bad. I’ve spent a lot of my day with him trying to understand the new guidelines and how to not get myself booked which I’ve failed in, but fair play to Jon in coming out. “He said it was clear and obvious and he can’t believe the on-field referee didn’t give it and he can’t believe VAR didn’t intervene. It’s probably made me feel worse to be honest because once you know you’re right you feel worse about leaving with nothing.” United boss Erik ten Hag tried to play down the incident, but he was largely alone in thinking the officials got the decision right. “When VAR looked at it and decided not to give it of course we are pleased,” the Dutchman said. “It’s about the referee and the VAR. I think the two players come together and Andre didn’t interfere with the action from them because first was the touch on the ball and then came Andre.” The controversial decision was not the only thing that left the impression United had been lucky to take three points from their opening Premier League match, with Raphael Varane’s 76th-minute header decisive in a laboured performance from the hosts. With O’Neil only a few days into his tenure, Wolves impressed with their attacking intent. They registered 23 attempts at goal, the most for any visiting team at Old Trafford since Chelsea had 25 in November 2005, another match that ended in a 1-0 win for United. Scoring goals was an all-too-familiar problem for Wolves last term but O’Neil was encouraged by what he saw. “Huge credit to the lads,” O’Neil said. “There’s been some negativity surrounding the place but they’ve committed to what we asked of them and gone toe to toe with a top side at a difficult place to come and they’re disappointed. “For the amount of shots we’ve had and the expected goals, we deserved at least a point… “Bigger picture stuff and where we want to take the group, tonight is a big step four days in. Coming to a place like this it could have gone very differently.” United struggled to find any flow and were second best in the second half until Aaron Wan-Bissaka latched on to a dinked ball from Bruno Fernandes, and lifted the ball over for Varane to nod home. “It was a tough game,” Ten Hag said. “I think we can do much better on the ball. We proved that last season and also in pre-season but the pre-season is not the season and when the league starts opponents are more aggressive. “Our decision-making could have been better and were not aggressive enough from that point of view, but there are a lot of positives to take. We fought for our lives and we survived with three points so well done.” Read More Charity boss speaks out over ‘traumatic’ encounter with royal aide Ukraine war’s heaviest fight rages in east - follow live Raphael Varane header earns Manchester United opening victory over Wolves How does Moises Caicedo’s Chelsea transfer compare to previous big-money deals? Majid Haq ‘disgusted and horrified’ following racial abuse while umpiring

A new bipartisan Senate bill would hold venture-capital firms and other large investors accountable in some cases for

By Raphael Satter WASHINGTON In late June, one of cybersecurity expert Steven Adair's clients got an alert from