Early detection of oral squamous cell carcinoma using five tumor-associated autoantibodies and a Naive Bayes-based machine learning model
Blood autoantibody patterns combined with artificial intelligence may help detect oral cancer early, though validation studies are still needed.
Title-only record: Five tumor-associated autoantibodies combined with a Naive Bayes machine learning model were evaluated for early oral squamous cell carcinoma detection. No performance metrics available from abstract for scoring.
What the study was
- Category
- Early Detection
- Maturity
- Exploratory
- Journal
- Scientific Reports
Why it surfaced
Abstract not returned; scored conservatively from title only per rubric cap of 3 for title-only records.
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