aceMulticlass Diagnostic Improvement of Interstitial Cystitis (IC) and Overactive Bladder (OAB) via Machine Learning Pipeline on Surface-Enhanced Raman Spectroscopy (SERS)
Interstitial cystitis (IC) and overactive bladder (OAB) are chronic pelvic conditions with shared symptoms of urinary urgency, increased frequency, and nocturia with pain in the bladder. IC is characterized by bladder pain and inflammation without a clear etiology, whereas OAB involves detrusor overactivity in the absence of infection. Despite this symptomatic overlap, IC and OAB differ in underlying pathophysiology and require distinct treatment and medical care. A specific diagnostic strategy is currently lack…
A machine learning pipeline applied to urine SERS spectra improved multiclass diagnosis of IC and OAB versus healthy controls, achieving up to 92% accuracy with interpretable pathologic Raman features.
Evidence
- Peer-reviewedACS Sensors2026-10-02
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Truvace Impact Record TRV-2026-1256, v1: “Multiclass Diagnostic Improvement of Interstitial Cystitis (IC) and Overactive Bladder (OAB) via Machine Learning Pipeline on Surface-Enhanced Raman Spectroscopy (SERS).” Truvace, 2026-10-03. /record/TRV-2026-1256 (accessed at citation time). sha256 2f246653562a257e…
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