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

<p dir="ltr">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...

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Bibliographic Details
Main Author: Vaisali Chandrasekar (16904526) (author)
Other Authors: Mohammed Yusuf Ansari (16904523) (author), Ajay Vikram Singh (204056) (author), Shahab Uddin (154400) (author), Kirthi S. Prabhu (17947853) (author), Sagnika Dash (17947856) (author), Souhaila Al Khodor (6807155) (author), Annalisa Terranegra (3486953) (author), Matteo Avella (17947859) (author), Sarada Prasad Dakua (14151789) (author)
Published: 2023
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Materials engineering
Drugs
Permeability
Predictive models
Pregnancy
Fingerprint recognition
Machine learning
Computational modeling
Placenta barrier
developmental toxicity
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