AI's growing thirst for water is becoming a public health risk "Bubble" is probably the word most associated with "AI" right now, though we are slowly understanding that it is not just an economic time bomb; it also carries significant public health risks. Beyond the release of pollutants, the massive need for clean water by AI data centres can reduce sanitation and exacerbate gastrointestinal illness in nearby communities, placing additional strain on local health infrastructure. AI's energy consumption is massive and increasingly water-dependent Generative AI is artificial intelligence that is able to generate new text, photos, code and more, and it has already infiltrated the lives of most people around the globe. ChatGPT alone is reported to receive around one billion queries in a single day, pointing to huge demand at the individual level. This, however, is only the tip of the iceberg.

Meghan shares intimate footage of her and Harry dancing in video filmed by Princess Lilibet - as Duchess hops on viral 2016 throwback trend with photo from couple's early dates Former Prime Minister Sir Tony Blair will join Donald Trump's Gaza'Board of Peace', White House confirms Taylor Swift and'defeated' Travis Kelce are facing'first real test' in their relationship... as insiders say'things are changing' Filthy rich fitness influencers engulfed in bitter war over $30M empire after secret'betrayal'... as their lavish spending is laid bare Thirty years ago, I represented one of his accusers... then he tried to destroy me Steve Bannon reveals why Canada is the'next Ukraine' as he details Trump's real motivations behind taking Greenland and his'Donroe Doctrine' Incredible'world first' footage shows spear-wielding hunters from world's biggest uncontacted Amazon tribe T. rex fossil discovery rewrites dinosaur history and reveals how long they really lived She won't like this column either... but she needs to read it: KENNEDY Trouble in paradise as retail tycoon locked in bitter $2.4m fight over gate and pickleball court at his mansion Sara Foster recalls being'offended' by Cindy Crawford setting her up on'blah' date with'old' George Clooney'Super flu' ravaging America kills 15 more children... as grieving parents issue urgent plea Melissa Gilbert being forced to kiss an older actor when she was 15 on Little House On The Prairie goes viral after husband Timothy Busfield's arrest I rejected religion all my life. Then a mysterious illness left me begging to die... and I saw God's body. A woman who had previously rejected the traditional teachings of God has revealed how her entire view on life and faith changed when she nearly died while vacationing in South Asia . In an interview with the Daily Mail, Colorado-based herbalist Scarlet Ravin said she contracted an illness believed to be COVID-19 during a December 2019 trip to rural Sri Lanka - and claimed she may have been among the first patients to come so close to death. Ravin, now 43, said a sore throat at the start of her vacation quickly spiraled into a high fever, intense body pain and delirium.

A new book explores how humans evolved to be wired for intimacy. It can save our lives. Intimate relationships provide stability, safety, and reassurance, especially when we are in pain. Breakthroughs, discoveries, and DIY tips sent every weekday. Adapted from THE INTIMATE ANIMAL by Justin Garcia, PhD. Used with permission of Little, Brown Spark, an imprint of Little, Brown and Company. Jen and Dave's second child was born in November 2002. Two weeks later, on a cold Thursday night, the phone rang.

A new strain of mpox, previously called monkeypox, has been detected in a person in England, say UK health officials. The virus is a mix of two major types of the mpox virus, and was found in someone who recently returned from travelling in Asia. Officials say they are still assessing the significance of the new strain. The UK Health Security Agency (UKHSA) says it is normal for viruses to evolve. Getting vaccinated remains the best way to protect against severe disease - although an mpox infection is mild for many.

Breakthroughs, discoveries, and DIY tips sent every weekday. Rubbing a black snail on a wart and impailing the creature with a thorn will make the bumps go away. Giving a donkey some bread will treat whooping cough . Mumps can be cured if you rub your head on the back of a pig . They may sound a bit strange now, but folk remedies like these are an important part of human history.

Metaphors and metaphorical language (MLs) play an important role in healthcare communication between clinicians, patients, and patients' family members. In this work, we focus on Dutch language data from cancer patients. We extract metaphors used by patients using two data sources: (1) cancer patient storytelling interview data and (2) online forum data, including patients' posts, comments, and questions to professionals. We investigate how current state-of-the-art large language models (LLMs) perform on this task by exploring different prompting strategies such as chain of thought reasoning, few-shot learning, and self-prompting. With a human-in-the-loop setup, we verify the extracted metaphors and compile the outputs into a corpus named HealthQuote.NL. We believe the extracted metaphors can support better patient care, for example shared decision making, improved communication between patients and clinicians, and enhanced patient health literacy. They can also inform the design of personalized care pathways. We share prompts and related resources at https://github.com/aaronlifenghan/HealthQuote.NL

The number of sick and disabled people out of work is putting the UK is at risk of an economic inactivity crisis that threatens the country's prosperity, according to a new report. There were 800,000 more people out of work now than in 2019 due to health conditions, costing employers £85bn a year, according to the review by former John Lewis boss Sir Charlie Mayfield. The problem could worsen without intervention, but Sir Charlie, who will lead a taskforce aimed at helping people return to work, said this was not inevitable. The move has been broadly welcomed, but some business groups said Labour's Employment Rights Bill included some disincentives to hiring people with existing illnesses. One in five working age people were out of work, and not seeking work, according to the report, which was commissioned by the Department for Work and Pensions by produced independently.

Here's why we don't have a cold vaccine. Preventing the common cold is extremely tricky--but not impossible. As the weather turns, we're all spending more time indoors. The kids have been back at school for a couple of months. And cold germs are everywhere. My youngest started school this year, and along with artwork and seedlings, she has also been bringing home lots of lovely bugs to share with the rest of her family.

How conspiracy theories infiltrated the doctor's office Every day, physicians and therapists work to keep their patients safe. As anyone who has googled their symptoms and convinced themselves that they've got a brain tumor will attest, the internet makes it very easy to self-(mis)diagnose your health problems. And although social media and other digital forums can be a lifeline for some people looking for a diagnosis or community, when that information is wrong, it can put their well-being and even lives in danger. Unfortunately, this modern impulse to "do your own research" became even more pronounced during the coronavirus pandemic. We asked a number of health-care professionals about how this shifting landscape is changing their profession. They told us that they are being forced to adapt how they treat patients.

Causal learning is the cognitive process of developing the capability of making causal inferences based on available information, often guided by normative principles. This process is prone to errors and biases, such as the illusion of causality, in which people perceive a causal relationship between two variables despite lacking supporting evidence. This cognitive bias has been proposed to underlie many societal problems, including social prejudice, stereotype formation, misinformation, and superstitious thinking. In this work, we examine whether large language models are prone to developing causal illusions when faced with a classic cognitive science paradigm: the contingency judgment task. To investigate this, we constructed a dataset of 1,000 null contingency scenarios (in which the available information is not sufficient to establish a causal relationship between variables) within medical contexts and prompted LLMs to evaluate the effectiveness of potential causes. Our findings show that all evaluated models systematically inferred unwarranted causal relationships, revealing a strong susceptibility to the illusion of causality. While there is ongoing debate about whether LLMs genuinely understand causality or merely reproduce causal language without true comprehension, our findings support the latter hypothesis and raise concerns about the use of language models in domains where accurate causal reasoning is essential for informed decision-making.