Predicting Malignant Transformation in Oral Leukoplakia: A Multilayer Perceptron Approach Incorporating Clinicopathological Features and <scp>DNA</scp> Content
Integrating DNA content analysis with machine learning provides an objective and clinically useful model to stratify malignant risk in OL, complementing conventional histopathology and supporting personalized patient management.
Authors
- André Luis Santana de Freitas (ORCID: https://orcid.org/0000-0003-1896-2104)
- Anna Luíza Damaceno Araújo (ORCID: https://orcid.org/0000-0002-3725-8051)
- Marcelo Sperandio (ORCID: https://orcid.org/0000-0003-3836-1891)
- Matheus Cardoso Moraes (ORCID: https://orcid.org/0000-0002-6019-6653)
- Andresa Borges Soares (ORCID: https://orcid.org/0000-0001-6112-3096)
- Saman Warnakulasuriya (ORCID: https://orcid.org/0000-0003-2103-0746)
- Caroline Gennari Stevão (ORCID: https://orcid.org/0000-0001-9391-9945)
- Guilherme Iani Pontes
Institutions
- Universidade de São Paulo (BR)
- King's College London (GB)
- Microsoft (Brazil) (BR)
- London Cancer (GB)
- Faculdade São Leopoldo Mandic (BR)
- Universidade Federal de São Paulo (BR)
Publication Details
- Journal
- Journal of Oral Pathology and Medicine
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1111/jop.70084
- Primary Topic
- Oral Health Pathology and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00