A lab-grown micro bladder may explain why urinary tract infections (UTIs) return so frequently, according to a study led by ...
Urinary tract infections (UTIs) are one of the most common infections worldwide with over 350 million cases a year. They can ...
Experiments revealed the profound influence of microenvironmental context on uropathogenic E. coli infection dynamics and ...
Researchers at University College London developed a urinary tract infection (UTI) model that better recapitulates human ...
Scientists are turning to bacteriophages to treat recurrent UTIs, thanks to research in a 3D micro-bladder model with a ...
A novel 3D cell model has revealed that bacteria capable of hiding in the bladder wall may be a cause of ineffective diagnoses and treatment of UTIs. Researchers from UCL (London, UK) have developed ...
Leveraging the power of AI and machine learning technologies, researchers developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy.
With millions of cases of bladder cancer (BC) around the world, the need for tools to ensure a timely diagnosis of this condition is a matter of concern. Scientists recently used mitochondrial-related ...
Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...
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