Ali Omar
University of Benghazi

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

PHARMACEUTICAL NANOTECHNOLOGY FOR IMPROVING BIOAVAILABILITY AND THERAPEUTIC EFFICACY Fatima Ahmed; Ali Omar; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i2.3211

Abstract

Pharmaceutical nanotechnology has emerged as a promising approach to enhance the bioavailability and therapeutic efficacy of drugs. Many drugs suffer from poor solubility, limited absorption, and rapid metabolism, leading to suboptimal therapeutic outcomes. Nanotechnology-based drug delivery systems offer solutions to these challenges by improving the stability, solubility, and controlled release of pharmaceuticals. This study explores the use of nanotechnology in the design and development of drug delivery systems aimed at enhancing bioavailability and optimizing therapeutic efficacy. The primary objective is to evaluate the effectiveness of various nanocarriers, including liposomes, dendrimers, and polymeric nanoparticles, in improving drug solubility and ensuring targeted delivery. The research employs in vitro and in vivo models to assess drug release profiles, absorption rates, and pharmacokinetic properties. The results demonstrate that nanotechnology-based systems significantly improve drug bioavailability and extend therapeutic efficacy by providing controlled and sustained drug release, reducing side effects, and enhancing cellular uptake. In conclusion, pharmaceutical nanotechnology offers a powerful strategy to overcome the limitations of conventional drug delivery systems, providing a pathway for more effective treatments in various therapeutic areas.
The ‘AI-Powered’ Madrasa: Efficacy of Personalized AI Tutors for Qur’anic Memorization and Arabic Language Learning Syarifatul Hayati Zarfi; Ali Omar; Samira Mohammed
Islamic Studies in the World Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v2i5.2940

Abstract

The integration of artificial intelligence (AI) into Islamic education has introduced new opportunities for enhancing Qur’anic memorization (tahfiz) and Arabic language learning through personalized, adaptive technologies. Traditional madrasa models rely heavily on direct teacher–student interaction, repetition-based practice, and individualized correction, yet often face constraints related to limited teaching time, large class sizes, and diverse learner abilities. Recent advancements in AI-driven tutoring systems provide alternative pathways for supporting memorization accuracy, pronunciation refinement, and grammar acquisition, offering a scalable solution aligned with contemporary educational needs. This study aims to evaluate the efficacy of personalized AI tutors in improving Qur’anic memorization performance and foundational Arabic language competency among madrasa students. The research investigates how AI-generated feedback, adaptive pacing, and real-time voice recognition contribute to learner progress, motivation, and error reduction within tahfiz and language-learning contexts. A quasi-experimental design was employed involving two groups: an experimental group using AI-powered tutoring applications and a control group engaging in conventional instructional methods. Data were collected through pre-tests and post-tests in Qur’anic memorization fluency, tajw?d accuracy, and basic Arabic vocabulary and grammar assessments. Additional qualitative data were gathered from student reflections and teacher interviews. The results demonstrate that students in the AI-assisted group achieved significantly higher gains in memorization retention, pronunciation accuracy, and vocabulary mastery compared to the control group. Learners also reported increased engagement, reduced anxiety, and enhanced autonomy in their study routines. The findings highlight the pedagogical value of AI tutors in complementing traditional madrasa teaching practices. The study concludes that AI-powered personalized tutoring systems can serve as effective supplementary tools for Qur’anic and Arabic instruction, provided that implementation aligns with ethical, pedagogical, and cultural considerations.