A new international study has uncovered a concerning lack of public understanding about cystitis and urinary tract infections (UTIs) –  common health issues that disproportionately affect women. The findings, which also highlight widespread misconceptions about prevention and treatment, underscore the urgent need for education to combat rising antibiotic resistance.

In a survey of over 3,000 adults across France, Germany, Italy, Spain, and the UK, 35% of respondents could not correctly define cystitis as a bladder infection, with some confusing it for a skin condition or even food allergies. Among younger adults aged 18–24, fewer than half (45%) were able to identify cystitis correctly.

It’s time to develop more effective ways to control and prevent sexually transmitted gut infections, urge the authors of an article appearing today in Clinical Microbiology Reviews, a journal of the American Society of Microbiology. Global emergence of several multidrug-resistant gut pathogens and the potential for crossover transmissions among different at-risk populations underscores the importance of prompt diagnosis, appropriate treatment, and the need to consider community-level education and testing.

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes in the body is the first step toward alleviating human suffering. It’s also often the most difficult and costly. But an artificial intelligence (AI) breakthrough by Virginia Tech computer scientists published Sept. 16 in Cell Systems — a high-impact journal dedicated to biological research — is bringing those fog-bound processes into focus.