medRxiv PreprintsInternational16 October 2026
LUCID: Lipid-featured Urine Cytology with Intelligent Detection for Non-Invasive Early Diagnosis of Bladder Cancer
This is an official announcement record
Firsthand records what medRxiv Preprints announced and links to the original. The wording below is theirs, not ours.
Leveraging its non-invasive and convenient nature, urinary cytology offers a way for the early diagnosis and surveillance of bladder cancer (BCa). However, its sensitivity remains substantially inferior to the histopathological gold standard, rendering it inadequate to support precise clinical diagnosis. Here, we developed Lipid-featured Urine Cytology with Intelligent Detection (LUCID), an automated platform integrating single-cell stimulated Raman scattering (SRS) imaging and explainable AI model for accurate BCa detection. Following a newly developed standardized urine-preprocessing protoco
Read the official announcement
Opens www.medrxiv.org
More from medRxiv Preprints
- Burden and factors associated with hospitalization among patients with chronic Diseases at a tertiary Hospital in Wolaita Zone, South Ethiopia: A Cross-sectional study16 October 2026
- Mechanisms of action of a community-led HIV prevention and treatment programme for female sex workers in Zimbabwe: a mixed-method analysis16 October 2026
- Professional Identity and Its Influencing Factors Among Nursing Interns: The Mediating Role of Career Adaptability Between Social Support and Professional Identity16 October 2026
- Effects of Cannabidiol on Auditory Mismatch Negativity in Autistic Children16 October 2026
- Municipality-level ecological analysis of COVID-19 mortality and infections in Austria, 2020 to 202316 October 2026
This content is for informational purposes only and is not medical advice. It is not intended to diagnose, treat, cure, or prevent any disease. Consult a healthcare professional before starting any supplement, treatment, or program — especially if you are pregnant, nursing, taking medication, or managing a health condition.