Leveraging and Validating Machine Learning for Blood Brain Barrier Permeability Prediction of Potential Glioma Therapeutics (P4-6.014)
In this study, we developed various machine and deep learning models to predict the blood-brain barrier (BBB) permeability of drug molecules and validated model efficacy using a Parallel Artificial Membrane Permeability Assay (PAMPA) on an external set of glioma drugs.
Authors
- Kecheng Lei (ORCID: https://orcid.org/0000-0002-2607-8960)
- Nicholas M. Boulis (ORCID: https://orcid.org/0000-0002-7271-3953)
- Marybeth Yonk
- Wael Ali Mostafa
- Megan Amber Lim
Institutions
- Emory University (US)
- University of Illinois Urbana-Champaign (US)
- Illinois College (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211005
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00