Document Type : Review Article
Authors
1 Department of BioTechnology Federal University of Technology Owerri, Nigeria
2 Department of Microbiology Federal University of Technology Owerri, Nigeria
3 Department of Chemical Sciences, Federal University Wukari, Taraba State, Nigeria
4 Department of Anatomy, Ebonyi State University, Abakaliki, Nigeria
Abstract
Artificial intelligence (AI) technology has garnered increasing attention in the last ten years due to its potential applications in biological or genetic data analysis, drug discovery acceleration, and the identification of rare or selected molecules. AI has become a disruptive force in the healthcare industry, providing creative ways to improve medicine delivery systems. AI-driven medication delivery systems optimize drug administration, leading to better therapeutic outcomes using machine learning algorithms and data-driven insights. The crucial role of artificial intelligence in medication delivery is examined, which also highlights how AI may improve drug formulation, precision dosage, and personalized medicine. By lowering side effects, raising treatment efficacy, and opening the door for the creation of innovative medications, the combination of AI with drug delivery holds the potential to completely transform the healthcare industry through various applications in personalized medicine, targeted drug delivery, drug formulation, optimization and improving efficiency, etc.
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- Vora LK, Gholap AD, Jetha K, Thakur RR, Solanki HK, Chavda VP. Artificial intelligence in pharmaceutical technology and drug delivery design, Pharmaceutics; 2023 Jul 10; 15(7):1916. [Crossref], [Google Scholar], [Publisher]
- Gerke S, Minssen T, Cohen G. Ethical and legal challenges of artificial intelligence-driven healthcare, InArtificial intelligence in healthcare ; 2020 Jan 1 (pp. 295-336); Academic Press. [Crossref], [Google Scholar], [Publisher]
- Pesapane F, Bracchi DA, Mulligan JF, Linnikov A, Maslennikov O, Lanzavecchia MB, Tantrige P, Stasolla A, Biondetti P, Giuggioli PF, Cassano E. Legal and regulatory framework for AI solutions in healthcare in Eu, us, China, and Russia: new scenarios after a pandemic, Radiation; 2021 Oct 15; 1(4):261-76. [Crossref], [Google Scholar], [Publisher]
- Arcaya MC, Arcaya AL, Subramanian SV. Inequalities in health: definitions, concepts, and theories, Global health action; 2015 Dec 1; 8(1):27106. [Crossref], [Google Scholar], [Publisher]
- Hardman TC, Aitchison R, Scaife R, Edwards J, Slater G. The future of clinical trials and drug development: 2050, Drugs in Context; 2023; 12. [Crossref], [Google Scholar], [Publisher]
- Jiang J, Ma X, Ouyang D, Williams III RO. Emerging artificial intelligence (ai) technologies used in the development of solid dosage forms, Pharmaceutics; 2022 Oct 22; 14(11):2257. [Crossref], [Google Scholar], [Publisher]
- Chavda V, Anand K, Apostolopoulos V, editors. Bioinformatics Tools for Pharmaceutical Drug Product Development; John Wiley & Sons; 2023 Mar 14. [Crossref], [Google Scholar], [Publisher]
- Gavas S, Quazi S, Karpiński TM. Nanoparticles for cancer therapy: current progress and challenges, Nanoscale research letters; 2021 Dec 5; 16(1):173. [Crossref], [Google Scholar], [Publisher]
- Lin Z, Chou WC, Cheng YH, He C, Monteiro-Riviere NA, Riviere JE. Predicting nanoparticle delivery to tumors using machine learning and artificial intelligence approaches, International journal of nanomedicine; 2022 Mar 24:1365-79. [Crossref], [Google Scholar], [Publisher]
- Magill E, Demartis S, Gavini E, Permana AD, Thakur RR, Adrianto MF, Waite D, Glover K, Picco CJ, Korelidou A, Detamornrat U. Solid implantable devices for sustained drug delivery, Advanced Drug Delivery Reviews; 2023 Jun 8:114950. [Crossref], [Google Scholar], [Publisher]
- Chavda VP, Bezbaruah R, Dolia S, Shah N, Verma S, Savale S, Ray S. Convalescent plasma (hyperimmune immunoglobulin) for COVID-19 management: An update, Process Biochemistry; 2023 Jan 31. [Crossref], [Google Scholar], [Publisher]
- Elumalai K, Srinivasan S, Shanmugam A. Review of the efficacy of nanoparticle-based drug delivery systems for cancer treatment, Biomedical Technology; 2024 Mar 1; 5:109-22. [Crossref], [Google Scholar], [Publisher]
- Bodenstedt S, Wagner M, Müller-Stich BP, Weitz J, Speidel S. Artificial intelligence-assisted surgery: potential and challenges, Visceral Medicine; 2020 Dec 4; 36(6):450-5. [Crossref], [Google Scholar], [Publisher]
- H.S. Samuel and E.E. Etim. Review on ChatGPT: History, Applications and Limitations in Chemistry. Phys Sci & Biophys J 2023, 7(2): 000263. DOI: 10.23880/psbj-16000263
- Vamathevan J, Clark D, Czodrowski P, Dunham I, Ferran E, Lee G, Li B, Madabhushi A, Shah P, Spitzer M, Zhao S. Applications of machine learning in drug discovery and development, Nature reviews Drug discovery; 2019 Jun; 18(6):463-77. [Crossref], [Google Scholar], [Publisher]
- Vora LK, Gholap AD, Jetha K, Thakur RR, Solanki HK, Chavda VP. Artificial intelligence in pharmaceutical technology and drug delivery design, Pharmaceutics; 2023 Jul 10; 15(7):1916. [Crossref], [Google Scholar], [Publisher]
- Blanco-Gonzalez A, Cabezon A, Seco-Gonzalez A, Conde-Torres D, Antelo-Riveiro P, Pineiro A, Garcia-Fandino R. The role of ai in drug discovery: challenges, opportunities, and strategies, Pharmaceuticals; 2023 Jun 18; 16(6):891. [Crossref], [Google Scholar], [Publisher]
- Topol EJ. High-performance medicine: the convergence of human and artificial intelligence, Nature medicine; 2019 Jan; 25(1):44-56. [Crossref], [Google Scholar], [Publisher]
- Suhail M, Khan A, Rahim MA, Naeem A, Fahad M, Badshah SF, Jabar A, Janakiraman AK. Micro and nanorobot-based drug delivery: an overview, Journal of Drug Targeting; 2022 Apr 21; 30(4):349-58. [Crossref], [Google Scholar], [Publisher]
- Wang Y, Shen J, Handschuh-Wang S, Qiu M, Du S, Wang B. Microrobots for Targeted Delivery and Therapy in Digestive System, ACS nano; 2022 Dec 19; 17(1):27-50. [Crossref], [Google Scholar], [Publisher]
- Haleem A, Javaid M, Singh RP, Suman R. Telemedicine for healthcare: Capabilities, features, barriers, and applications, Sensors international; 2021 Jan 1; 2:100117. [Crossref], [Google Scholar], [Publisher]
- Selvaraj C, Chandra I, Singh SK. Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries, Molecular diversity; 2021 Oct 23:1-21. [Crossref], [Google Scholar], [Publisher]
- You Y, Lai X, Pan Y, Zheng H, Vera J, Liu S, Deng S, Zhang L. Artificial intelligence in cancer target identification and drug discovery, Signal Transduction and Targeted Therapy; 2022 May 10; 7(1):156. [Crossref], [Google Scholar], [Publisher]
- Vora LK, Gholap AD, Jetha K, Thakur RR, Solanki HK, Chavda VP. Artificial intelligence in pharmaceutical technology and drug delivery design; Pharmaceutics; 2023 Jul 10; 15(7):1916. [Crossref], [Google Scholar], [Publisher]
- Yang X, Wang Y, Byrne R, Schneider G, Yang S. Concepts of artificial intelligence for computer-assisted drug discovery, Chemical reviews; 2019 Jul 11; 119(18):10520-94. [Crossref], [Google Scholar], [Publisher]
- Zador AM. A critique of pure learning and what artificial neural networks can learn from animal brains, Nature communications; 2019 Aug 21; 10(1):3770. [Crossref], [Google Scholar], [Publisher]
- Blanco-Gonzalez A, Cabezon A, Seco-Gonzalez A, Conde-Torres D, Antelo-Riveiro P, Pineiro A, Garcia-Fandino R. The role of ai in drug discovery: challenges, opportunities, and strategies, Pharmaceuticals;2023 Jun 18; 16(6):891. [Crossref], [Google Scholar], [Publisher]
- Santa Maria Jr JP, Wang Y, Camargo LM. Perspective on the challenges and opportunities of accelerating drug discovery with artificial intelligence, Frontiers in Bioinformatics; 2023 Feb 23; 3:1121591. [Crossref], [Google Scholar], [Publisher]
- Sharma R, Shishodia A, Gunasekaran A, Min H, Munim ZH. The role of artificial intelligence in supply chain management: mapping the territory, International Journal of Production Research; 2022 Dec 17; 60(24):7527-50. [Crossref], [Google Scholar], [Publisher]
- Hohma E, Boch A, Trauth R, Lütge C. Investigating accountability for Artificial Intelligence through risk governance: A workshop-based exploratory study, Frontiers in Psychology; 2023 Jan 25; 14:1073686. [Crossref], [Google Scholar], [Publisher]
- Wolff J, Pauling J, Keck A, Baumbach J. Systematic review of economic impact studies of artificial intelligence in health care, Journal of Medical Internet Research; 2020; 22(2):e16866. [Crossref], [Google Scholar], [Publisher]
- Sahu A, Mishra J, Kushwaha N. Artificial intelligence (AI) in drugs and pharmaceuticals, Combinatorial Chemistry & High Throughput Screening; 2022 Sep 1; 25(11):1818-37. [Crossref], [Google Scholar], [Publisher]
- Schork NJ. Artificial intelligence and personalized medicine, Precision medicine in Cancer therapy; 2019:265-83. [Crossref], [Google Scholar], [Publisher]
- Paul D, Sanap G, Shenoy S, Kalyane D, Kalia K, Tekade RK. Artificial intelligence in drug discovery and development, Drug discovery today; 2021 Jan; 26(1):80. [Crossref], [Google Scholar], [Publisher]
- Zhang Y, Hu Y, Jiang N, Yetisen AK. Wearable artificial intelligence biosensor networks, Biosensors and Bioelectronics; 2023 Jan 1; 219:114825. [Crossref], [Google Scholar], [Publisher]
- Kuziemsky C, Maeder AJ, John O, Gogia SB, Basu A, Meher S, Ito M. Role of artificial intelligence within the telehealth domain, Yearbook of medical informatics; 2019 Aug; 28(01):035-40. [Google Scholar], [Publisher]
- Stasevych M, Zvarych V. Innovative robotic technologies and artificial intelligence in pharmacy and medicine: paving the way for the future of health care—a review, Big Data and Cognitive Computing; 2023 Aug 30; 7(3):147. [Crossref], [Google Scholar], [Publisher]
- Askin S, Burkhalter D, Calado G, El Dakrouni S. Artificial Intelligence Applied to clinical trials: opportunities and challenges, Health and Technology; 2023 Mar; 13(2):203-13. [Crossref], [Google Scholar], [Publisher]
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