All posts tagged: identifies

AI identifies people with sharply elevated risk of skin cancer within 5 years

AI identifies people with sharply elevated risk of skin cancer within 5 years

A skin cancer diagnosis can seem to arrive out of nowhere. But buried in years of health records, prescription histories, and demographic data, researchers say there may be clues that help flag people at especially high risk before melanoma appears. That is the idea behind a large Swedish study that tested whether artificial intelligence could sort through routine healthcare registry data and identify adults more likely to develop melanoma within five years. The work drew on records from more than 6 million people, making it one of the broadest efforts yet to use national population data for melanoma risk prediction. During the five-year study window, 38,582 of the 6,036,186 adults in the dataset developed melanoma, including melanoma in situ. That amounts to about 0.64% of the population studied. “Our study shows that data which is already available within healthcare systems can be used to identify individuals at higher risk of melanoma,” said Martin Gillstedt, a doctoral student at the University of Gothenburg’s Sahlgrenska Academy and a statistician at Sahlgrenska University Hospital’s Department of Dermatology and …

Specialist identifies the five key bowel cancer signs you should never ignore

Specialist identifies the five key bowel cancer signs you should never ignore

Get the Well Enough newsletter with Harry Bullmore for tips on living a healthier, happier and longer life Get the Well Enough email with Harry Bullmore Get the Well Enough email with Harry Bullmore The reluctance to discuss bowel movements often persists as a societal taboo, yet candid conversations with a doctor about unusual changes are crucial for the early detection of serious health issues. Despite bowel cancer ranking among the most common cancers in the UK, public awareness regarding its symptoms and screening procedures often falls short. As Bowel Cancer Awareness Month approaches in April, Mr Jeremy Clark, a consultant general surgeon specialising in colorectal diseases at Nuffield Health in Brighton, has highlighted five critical warning signs for the public to recognise. 1. Blood in the stool “Passing blood when you go to the toilet is a worrying feature that you should flag to your GP,” says Clark. The surgeon highlights how the colour can vary from bright red to almost black in colour. open image in gallery A man sitting on a toilet …

DHS identifies suspect in Michigan synagogue attack

DHS identifies suspect in Michigan synagogue attack

The Department of Homeland Security (DHS) has identified the suspect accused of attacking a synagogue in Michigan on Thursday as Ayman Mohamad Ghazali, a Lebanese citizen. The DHS confirmed Ghazali’s identity in a statement to The Hill. “He was born in Lebanon on January 4, 1985,” a DHS spokesperson said. “He entered the United States… Source link

Dirty Business review – Powerful, enraring sewage crisis drama identifies something rotten in our society

Dirty Business review – Powerful, enraring sewage crisis drama identifies something rotten in our society

Get the latest entertainment news, reviews and star-studded interviews with our Independent Culture email Get the latest entertainment news with our free Culture newsletter Get the latest entertainment news with our free Culture newsletter The bar for campaigning British TV is ridiculously high. Mr Bates vs The Post Office and Adolescence were stunningly acted and scripted programmes that sent shockwaves around the world. Like those series (and Ken Loach’s Cathy Come Home, the 1966 drama that arguably set the mould for such rabble-rousing gems), Dirty Business identifies something rotten in our society – in this case, the behaviour of privately owned water companies who for at least two decades have made a fortune while knowingly pumping untreated sewage into England’s rivers and seas. Faeces! Sanitary towels! Condoms! Can the rot be stopped? The filmmaker Joseph Bullman makes us part of the answer to that question. Over the course of three episodes that combine acutely distressing scenes with cosy banter and pitch-black satire, we’re basically offered an instruction manual on how to hold the powers-that-be to …

Meta Adding Facial Recognition to Its Smart Glasses That Identifies People in Real Time, Hoping the Public Is Too Distracted by Political Turmoil to Care

Meta Adding Facial Recognition to Its Smart Glasses That Identifies People in Real Time, Hoping the Public Is Too Distracted by Political Turmoil to Care

Michael Macor/The San Francisco Chronicle via Getty Images When Meta announced it would strip its failed VR goggles division for parts, the bet was simple: funnel that money into sleek, AI-powered smart glasses instead. Emboldened by the product’s early success, the company is now working on rolling out a massive facial recognition feature across its entire smart glasses platform — a launch which involves timing the announcement with political drama to minimize scrutiny. According to new reporting by the New York Times, Meta could make the facial recognition features available to smart glasses owners as early as this year. Internally, the software goes by the designation “Name Tag.” Per the NYT‘s sources, it would let anyone who owns Meta’s smart glasses to identify people in the real world, instantly pulling up their information through Meta’s AI assistant. Since early 2025, NYT notes, Meta insiders have been hemming and hawing over how to roll out the feature, acknowledging significant “safety and privacy risks” associated with the feature. Disturbingly, documents viewed by the paper reportedly show the …

New study identifies functional declines that predict psychosis risk

New study identifies functional declines that predict psychosis risk

A new analysis of data from a large international consortium indicates that social and academic difficulties often arise years before the onset of recognizable clinical symptoms in young people at risk for psychosis. The findings suggest that these functional declines, particularly in social settings, may serve as early warning signs that precede the hallucinations or delusions typically associated with the condition. This research was published in Schizophrenia Bulletin. The primary method for identifying individuals at Clinical High Risk (CHR) for psychosis currently relies on the presence of attenuated psychotic symptoms. These include experiences such as perceptual abnormalities, hearing indistinct whispers, or harboring heightened suspiciousness. While these symptoms are diagnostic markers, they often emerge after a young person has already begun to struggle with daily life. Previous smaller studies, largely conducted in North America, indicated that problems with peer relationships and school performance frequently predate the clinical diagnosis. The scientific community needed to determine if these patterns held true across diverse cultures and if they were specifically linked to negative symptoms or cognitive deficits. Negative symptoms …

Machine learning identifies brain patterns that predict antidepressant success

Machine learning identifies brain patterns that predict antidepressant success

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to standard antidepressant medication. By analyzing electrical activity in the brain, the system forecasts treatment success with high accuracy before the patient takes a single pill. These findings suggest that specific patterns of brain connectivity and oscillation could serve as reliable biological markers for personalized mental health care. The study was published in the Journal of Affective Disorders. Major depressive disorder is a debilitating condition that affects mood, cognitive function, and physical health. It imposes a heavy burden on daily life and the economy. The standard medical approach involves prescribing antidepressants known as Selective Serotonin Reuptake Inhibitors, or SSRIs. These drugs aim to increase the levels of serotonin available to nerve cells. This chemical messenger helps regulate mood and neuroplasticity. Medical professionals face a difficult challenge when prescribing these drugs. SSRIs provide relief for only about half of the patients who take them. Doctors currently lack a reliable method to determine which patients will benefit. They rely on …

AI identifies behavioral traits that predict alcohol preference during adolescence

AI identifies behavioral traits that predict alcohol preference during adolescence

A new study utilizing artificial intelligence has identified specific behavioral patterns that predict alcohol preference in adolescent mice. The findings indicate that sensitivity to natural rewards and lower levels of sociability are strong indicators of alcohol consumption during this developmental stage. In contrast, these behavioral traits did not predict alcohol preference in adult mice. These results were published in the journal Alcohol: Clinical and Experimental Research. Adolescence represents a distinct period of brain development characterized by significant changes in neural structure. This phase often coincides with the initiation of alcohol use, which can lead to long-term health issues and dependency. Clinical observations suggest that teenagers display a complex mix of behaviors that may increase their likelihood of experimenting with drugs. Traits such as risk-taking, anxiety, and how one responds to rewards are often linked to substance use. Previous animal research has produced mixed results regarding which specific behaviors consistently lead to higher alcohol intake. Some studies link high anxiety to drinking, while others find no connection or even an inverse relationship. These inconsistencies may stem …