Age, spinal cord injury severity, C-reactive protein levels, urination modes, and pain severity all significantly impact incidence.

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 ...

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 ...

Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer ...

A new research paper was published in Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 16, Issue 3, entitled, "Prognostic model development and molecular ...

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 ...

A new model may help identify neurogenic bladder and other complications in patients with spinal cord injuries.