Health
Drug-Resistant Infections Projected to Surge Across Europe as Population Ages
Rates of bloodstream infections caused by antibiotic-resistant bacteria are expected to rise sharply across Europe in the coming years, with older adults likely to be the hardest hit, according to a new study published in PLOS Medicine.
The research found that as Europe’s population continues to age, infections caused by so-called “superbugs” will become increasingly common and dangerous. Antimicrobial resistance (AMR) occurs when bacteria evolve to the point where antibiotics are no longer effective, leading to harder-to-treat infections. Globally, these resistant pathogens already kill around one million people each year.
The study projected that rates of drug-resistant infections will climb steadily through 2030, with significant variations depending on the country, gender, age group, and specific bacteria-antibiotic combinations. Overall, the increase in bloodstream infections is expected to range from 22.2 percent for Streptococcus pneumoniae infections among women to 61.5 percent for Klebsiella pneumoniae infections among men.
The analysis also found that men are likely to experience higher infection rates than women for six of the eight bacterial types examined. The uptick will have a greater impact on older adults, particularly those aged 74 and above, who are more vulnerable to severe complications such as sepsis when bloodstream infections occur.
“Our study shows that the future burden of drug-resistant infections won’t be uniform,” said Gwenan Knight, senior author of the study and co-director of the Antimicrobial Resistance Centre at the London School of Hygiene & Tropical Medicine. “Age and sex are still rarely considered in antimicrobial resistance projections, yet they make a real difference to who is most affected.”
To conduct the analysis, researchers examined data from over 12.8 million blood tests across 29 European countries between 2010 and 2019. Using these data, they developed models to forecast trends in bloodstream infections through 2050.
Knight said that understanding which populations face the greatest risk will help scientists and policymakers design more effective prevention and treatment strategies. Tailored interventions could include improving infection control measures in hospitals and care homes, investing in new antibiotics, and promoting responsible antibiotic use.
However, the study cautioned that meeting international targets to curb antibiotic resistance will be difficult. The World Health Organization and other global health bodies have set a goal of reducing antibiotic-resistant infections by 10 percent by 2030. According to the research, this target is likely achievable for only about two-thirds of the bacteria-antibiotic combinations studied.
Given the growing threat, Knight noted that holding infection rates steady could itself be a public health success. “Simply preventing further rises in resistant bloodstream infections would already be a major public health achievement,” she said.
Health
Study Finds AI Systems Can Repeat Fake Medical Claims When Framed Credibly
“Large language models accept fake medical claims if presented as realistic in medical notes and social media discussions, a study has found.”
As more people turn to the internet to research symptoms, compare treatments and share personal health experiences, artificial intelligence tools are increasingly being used to answer medical questions. A new study warns that many of these systems remain vulnerable to medical misinformation, particularly when false claims are presented in authoritative or realistic language.
The findings, published in The Lancet Digital Health, show that leading artificial intelligence systems can mistakenly repeat incorrect medical information when it appears in formats that resemble professional healthcare documents or trusted online discussions. Researchers analysed how large language models respond when faced with false medical statements written in a credible tone.
The study examined responses from 20 widely used language models, including systems developed by OpenAI, Meta, Google, Microsoft, Alibaba and Mistral AI, as well as several models specifically fine-tuned for medical use. In total, researchers assessed more than one million prompts designed to test whether AI would accept or reject fabricated health information.
Fake statements were inserted into real hospital discharge notes, drawn from common health myths shared on Reddit, or embedded in simulated clinical scenarios written to resemble authentic healthcare guidance. Across all models tested, incorrect information was accepted around 32 percent of the time. Performance varied significantly, with smaller or less advanced models accepting false claims in more than 60 percent of cases, while more advanced systems, including ChatGPT-4o, did so in roughly 10 percent of responses.
The researchers also found that medical fine-tuned models performed worse than general-purpose systems, raising concerns about tools designed specifically for healthcare use.
“Our findings show that current AI systems can treat confident medical language as true by default, even when it’s clearly wrong,” said Eyal Klang of the Icahn School of Medicine at Mount Sinai, one of the study’s senior authors. He added that how a claim is written often matters more to the model than whether it is accurate.
Some of the accepted misinformation could pose real risks to patients. Several models endorsed claims such as Tylenol causing autism during pregnancy, rectal garlic boosting immunity, mammograms causing cancer, and tomatoes thinning blood as effectively as prescription medication. In another case, a discharge note incorrectly advised patients with oesophageal bleeding to drink cold milk, which some models repeated without flagging safety concerns.
The study also tested how AI systems responded to flawed arguments known as fallacies. While many fallacies prompted scepticism, models were more likely to accept false claims framed as expert opinions or warnings of catastrophic outcomes.
Researchers say future work should focus on measuring how often AI systems pass on falsehoods before they are used in clinical settings. Mahmud Omar, the study’s first author, said the dataset could help developers and hospitals stress-test AI tools and track improvements over time.
The authors said stronger safeguards will be essential as AI becomes more deeply embedded in healthcare decision-making.
Health
Moderate Caffeine Intake Linked to Lower Dementia Risk, Study Finds
Health
Growing Research Links Tattoos to Possible Cancer Risks, Experts Say
Tattoos are more popular than ever, but a growing body of research suggests a connection between permanent ink and certain types of cancer. How concerned should the public be?
From tribal sleeves to lower-back butterflies, humans have been inking their skin for thousands of years. For most, the main concern has been the fear of future regrets. However, recent studies suggest that tattoos could carry more serious long-term health risks.
The popularity of tattoos has risen sharply in recent years. Research published in the European Journal of Public Health estimates that between 13 and 21 percent of people in Western Europe now have at least one tattoo. Despite this prevalence, relatively little is known about the potential long-term effects of permanent ink.
Previous studies have shown that tattoo pigments can accumulate in the lymph nodes, sometimes causing inflammation and, in rare cases, lymphoma—a type of blood cancer. A 2025 study by the University of Southern Denmark (SDU) expanded on this, reporting that individuals with tattoos may face higher risks of skin cancer and lymphoma. Using a cohort of randomly selected twins, the researchers found that tattooed participants had nearly four times the risk of skin cancer compared with their non-tattooed siblings.
The study also suggested that tattoo size could affect risk, with designs larger than the palm associated with higher hazard rates.
“We have evidence that there is an association [between the amount of ink and risk] for lymphoma and for skin cancer,” said Signe Bedsted Clemmensen, co-author of the study and assistant professor of biostatistics at SDU. “For lymphoma, the hazard rate is 2.7 times higher, so this is quite a lot. And for skin cancers, before it was 1.6 and now it’s 2.4. This indicates that the more ink you have, the higher the risk, the higher the hazard rate.”
Clemmensen emphasized that these findings remain preliminary, with many variables—including ink types, tattoo placement, and genetic and environmental factors—still under investigation. “The bottom line is, more research is needed,” she said. “But also, the next step I think is studying the biological mechanisms [of getting tattooed] and trying to understand what happens there.”
Experts also note other risks unrelated to cancer. Tattoo inks consist of pigments combined with a carrier fluid to deposit color into the dermis. Some inks, often imported, can contain trace amounts of heavy metals such as nickel, chromium, cobalt, and lead, which can trigger allergic reactions or immune sensitivity. In 2022, the European Union restricted more than 4,000 hazardous substances in tattoo inks under its REACH regulations.
While tattoos are generally considered safe when applied hygienically, the long-term health consequences remain uncertain. “It’s up to each of us how we choose to live our lives, right? But as a researcher, it’s also my job to inform people of these risks,” Clemmensen said. “Or, when it comes to tattooing, right now it’s more about informing people about how little we know.”
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