Machine learning-assisted rheumatoid arthritis formulations: A review on smart pharmaceutical design

被引：7

作者：

Pouyanfar, Niki ^{[1
]}

Anvari, Zahra ^{[1
]}

Davarikia, Kamyar ^{[2
]}

Aftabi, Parnia ^{[2
]}

Tajik, Negin ^{[2
]}

Shoara, Yasaman ^{[2
]}

Ahmadi, Mahnaz ^{[3
,4
]}

Ayyoubzadeh, Seyed Mohammad ^{[5
,6
]}

Shahbazi, Mohammad-Ali ^{[7
]}

Ghorbani-Bidkorpeh, Fatemeh ^{[1
]}

机构：

[1] Shahid Beheshti Univ Med Sci, Sch Pharm, Dept Pharmaceut & Pharmaceut Nanotechnol, Valiasr Ave, Tehran 1991953381, Iran

[2] Shahid Beheshti Univ Med Sci, Student Res Comm, Sch Pharm, Tehran, Iran

[3] Shahid Beheshti Univ Med Sci, Sch Adv Technol Med, Dept Tissue Engn & Appl Cell Sci, Tehran, Iran

[4] Shahid Beheshti Univ Med Sci, Med Nanotechnol & Tissue Engn Res Ctr, Tehran, Iran

[5] Univ Tehran Med Sci, Sch Allied Med Sci, Dept Hlth Informat Management, Tehran, Iran

[6] Univ Tehran Med Sci, Hlth Informat Management Res Ctr, Tehran, Iran

[7] Univ Groningen, Univ Med Ctr Groningen, Dept Biomed Engn, Antonius Deusinglaan 1, NL-9713 AV Groningen, Netherlands

来源：

MATERIALS TODAY COMMUNICATIONS | 2024年 / 41卷

关键词：

Artificial intelligence; Machine learning; Rheumatoid arthritis; Biomedical application; Drug delivery system; DRUG-DELIVERY SYSTEMS; ARTIFICIAL NEURAL-NETWORKS; SOLID LIPID NANOPARTICLES; ANTIARTHRITIC DRUGS; TARGETED DELIVERY; INTELLIGENCE; PREDICTION; THERAPY; MACROPHAGES; DENDRIMER;

D O I：

10.1016/j.mtcomm.2024.110208

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Rheumatoid arthritis (RA) is a long-lasting autoimmune condition that causes significant suffering among those affected. The medications used to treat this disease, including NSAIDs (nonsteroidal anti-inflammatory drugs), glucocorticoids, DMARDs (disease-modifying antirheumatic drugs), and biologic agents, come with various drawbacks due to their inherent physicochemical properties and potential side effects. Utilizing pharmaceutical processes, formulating, and employing nanoparticle-based drug delivery approaches could potentially maximize the benefits of these drugs. However, developing suitable formulations and optimized drug delivery systems can be challenging in the laboratory, as incorrect formulas might lead to insufficient bioavailability and effectiveness. Different artificial intelligence techniques, particularly machine learning, have been applied in various aspects of RA research. These include utilizing AI to develop, optimize, and enhance drug delivery systems and predicting and enhancing the diagnosis and treatment methods employed for this disease. This review article explored the use of machine learning in manufacturing diverse pharmaceutical formulations and improving the diagnosis and treatment of RA disease.

引用

页数：20

共 182 条

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