SOURCE-LINKED INTELLIGENCE
PROSPECT: PREMALIGNANT ORAL LESIONS PATHOLOGY AND EPIGENETIC RISK PREDICTION TOOL - ABSTRACT THIS APPLICATION VALIDATES A MINIMALLY INVASIVE, MULTI-STAGE ARTIFICIAL INTELLIGENCE (AI)-BASED CYTOLOGIC, HISTOLOGIC AND EPIGE
PROSPECT: PREMALIGNANT ORAL LESIONS PATHOLOGY AND EPIGENETIC RISK PREDICTION TOOL - ABSTRACT THIS APPLICATION VALIDATES A MINIMALLY INVASIVE, MULTI-STAGE ARTIFICIAL INTELLIGENCE (AI)-BASED CYTOLOGIC, HISTOLOGIC AND EPIGENETIC BIOMARKER TO IDENTIFY ORAL PREMALIGNANT LESIONS (OPL) WITH HIGH RISK OF PROGRESSION TO ORAL CAVITY SQUAMOUS CELL CARCINOMA (OSCC), USING A MASSIVE EXISTING DATA SET AND A PROSPECTIVE STUDY IN RACIALLY AND SOCIOECONOMICALLY DIVERSE OPL PATIENTS. OSCC PATIENTS SUFFER FROM A 5-YEAR MORTALITY RATE OF 40%, ACCOUNTING FOR ONE DEATH PER HOUR. UP TO 10% OF THE U.S. POPULATION HAS
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- recordType
- award
- region
- US
- value
- 1389936
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.