Related Experiment Video
Updated: Jan 8, 2026

Ocular Therapeutic Delivery and Advanced Tissue Retrieval in Adult Rats
Published on: May 23, 2025
Artificial Intelligence in Ocular Drug Delivery: Precision Drug Delivery's New Horizon
Vaibhavi Srivastava1,2, Pragya Yadav3, Abhishek Yadav4
1Lloyd School of Pharmacy, Plot No.-3, Knowledge Park-II, Greater Noida, Uttar Pradesh, 201306, India.
Background:
Artificial intelligence is emerging as a transformative force in pharmaceutical sciences by enabling data-driven decision-making, automation, and predictive modeling. In ocular drug delivery, where therapeutic efficacy is hindered by complex anatomical and physiological barriers, AI presents significant opportunities to overcome these challenges. Its ability to optimize drug combinations, design smart delivery systems, and personalize therapies underscores its relevance in advancing ophthalmic care.
Area Covered:
This review explores the intersection of AI and ophthalmic therapeutics, highlighting its role in formulation design, disease prediction, patient-specific treatment strategies, and smart delivery platforms, and outlines future research directions to bridge current gaps. Machine learning is advancing ocular drug delivery by optimizing nano-formulations, predicting release kinetics, and modeling pharmacokinetics. Alongside AI-powered diagnostics and integration with biosensors, contact lenses, and implants, these innovations are driving real-time monitoring and truly personalized ocular therapy and early detection and monitoring ocular diseases such as glaucoma, diabetic retinopathy, and macular degeneration. Challenges including limited clinical validation, model interpretability, data security, and regulatory complexities are highlighted. Furthermore, current gaps such as the lack of comprehensive studies on AI-assisted stimuli-responsive carriers and integration with patient-specific data are identified. Future directions emphasize explainable AI, smart biomaterials, and robust ethical-regulatory frameworks for clinical translation.
Expert Opinion:
AI integration in ocular therapeutics marks a paradigm shift toward precision drug delivery and personalized care. Despite progress, challenges in explainability, regulation, and validation remain, yet innovations in AI-driven nanocarriers, smart systems, and real-time monitoring hold the potential to revolutionize ocular pharmacology overcoming limitations of conventional therapies.
More Related Videos
10:10Ultrahigh Resolution Mouse Optical Coherence Tomography to Aid Intraocular Injection in Retinal Gene Therapy Research
Published on: November 2, 2018
07:12Spatio-Temporal In Vivo Imaging of Ocular Drug Delivery Systems using Fiberoptic Confocal Laser Microendoscopy
Published on: September 27, 2021
Related Concept Videos
Drug Delivery: Miscellaneous Routes
Oral inhalation and nasal sprays swiftly transfer drugs across the respiratory epithelium's mucosal layer. Inhaled glucocorticoids and bronchodilators directly target lung conditions such as asthma, while fluticasone nasal spray mitigates allergic rhinitis.
Transdermal patches transport drugs...
Drug Delivery: Overview
Enteral delivery involves administering drugs directly through swallowing, sublingual placement, or buccal application. Orally administered drugs predominantly navigate the...