سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / International Conference on Artificial Intelligence; City, Industry and Health

A mini-review on machine learning framework for drug delivery applications

نویسندگان :

S.A. Hassanzadeh_Tabrizi¹ Mahdie Saheban² Hashim Hamood Jabbar Al-Gburi³

1- Advanced Materials Research Center, Department of Materials Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran 2- Advanced Materials Research Center, Department of Materials Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran 3- Advanced Materials Research Center, Department of Materials Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

کلمات کلیدی :

Artificial intelligence،Machine learning،Drug delivery،Biomaterials

چکیده :

Artificial intelligence (AI) represents a transformative technology that is reshaping the healthcare and pharmaceutical industries. This review provides an analysis of the current and prospective applications of machine learning in pharmaceutical science, emphasizing its role in drug delivery and development. By leveraging advanced machine learning algorithms and data analytics, AI facilitates the identification of novel therapeutic targets, streamlines drug formulation processes, and enhances predictive modeling for pharmacokinetics and toxicity. The integration of AI into pharmaceutical workflows promises to accelerate drug discovery timelines, reduce development costs, and improve precision medicine approaches, ultimately leading to more effective treatments and optimized patient outcomes.