Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta

Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta

Owing to limited drug testing possibilities in pregnant population, the development of computational algorithms is crucial to predict the fate of drugs in the placental barrier; it could serve as an alternative to animal testing. The ability of a molecule to effectively cross the placental barrier a...

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Bibliographic Details
Main Authors: Vaisali Chandrasekar, Mohammed Yusuf Ansari, Ajay Vikram Singh, Shahab Uddin, Kirthi S. Prabhu, Sagnika Dash, Souhaila Al Khodor, Annalisa Terranegra, Matteo Avella, Sarada Prasad Dakua
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Placenta barrier
machine learning
drug permeability
developmental toxicity
Online Access:https://ieeexplore.ieee.org/document/10115411/

Internet

https://ieeexplore.ieee.org/document/10115411/

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