Deep Learning-Based Drug Half-Life Classification to Enhance Drug Development and Pharmacokinetics

This work proposes an efficient method for drug half-life classification, supporting drug formulation and dosing strategies. The findings highlight the value of classification in early drug development and provide a robust, scalable tool for pharmacokinetic research.

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Publication Details

Journal
Advanced Pharmaceutical Bulletin
Published
2025-10-19
DOI
https://doi.org/10.34172/apb.025.45420
Primary Topic
Computational Drug Discovery Methods
Type
article
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0.00
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article

Deep Learning-Based Drug Half-Life Classification to Enhance Drug Development and Pharmacokinetics

Affaf Khaouane, Samira Ferhat, hadjer barki
Advanced Pharmaceutical Bulletin
Computational Drug Discovery Methods
article

Deep Learning-Based Drug Half-Life Classification to Enhance Drug Development and Pharmacokinetics

Affaf Khaouane, Samira Ferhat, hadjer barki
article en

Abstract

This work proposes an efficient method for drug half-life classification, supporting drug formulation and dosing strategies. The findings highlight the value of classification in early drug development and provide a robust, scalable tool for pharmacokinetic research.

Advanced Pharmaceutical BulletinVol. 15(4)
University Yahia Fares of Medea (DZ)
Openalex Percentile: Top 69%
Computational Drug Discovery Methods
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Deep Learning-Based Drug Half-Life Classification to Enhance Drug Development and Pharmacokinetics — Affaf Khaouane, Samira Ferhat, et al. · Advanced Pharmaceutical Bulletin (2025) | TGRS Research Map | TGRS