A state-of-the-art analysis of pharmacological delivery and artificial intelligence techniques for inner ear disease treatment

Wanqing Li; Nan Zheng; Qiang Zhou; Mohammed S Alqahtani; Dalia H Elkamchouchi; Huajun Zhao; Sen Lin

doi:10.1016/j.envres.2023.116457

A state-of-the-art analysis of pharmacological delivery and artificial intelligence techniques for inner ear disease treatment

Environ Res. 2023 Nov 1;236(Pt 1):116457. doi: 10.1016/j.envres.2023.116457. Epub 2023 Jul 15.

Authors

Wanqing Li¹, Nan Zheng², Qiang Zhou¹, Mohammed S Alqahtani³, Dalia H Elkamchouchi⁴, Huajun Zhao⁵, Sen Lin⁶

Affiliations

¹ Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, 325200, China.
² College of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, 311402, China.
³ Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia; BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK.
⁴ Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
⁵ College of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, 311402, China. Electronic address: zhj@zcmu.edu.cn.
⁶ Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, 325200, China. Electronic address: inns@wmu.edu.cn.

PMID: 37459944
DOI: 10.1016/j.envres.2023.116457

Abstract

Over the last several decades, both the academic and therapeutic fields have seen significant progress in the delivery of drugs to the inner ear due to recent delivery methods established for the systemic administration of drugs in inner ear treatment. Novel technologies such as nanoparticles and hydrogels are being investigated, in addition to the traditional treatment methods. Intracochlear devices, which utilize current developments in microsystems technology, are on the horizon of inner ear drug delivery methods and are designed to provide medicine directly into the inner ear. These devices are used for stem cell treatment, RNA interference, and the delivery of neurotrophic factors and steroids during cochlear implantation. An in-depth analysis of artificial neural networks (ANNs) in pharmaceutical research may be found in ANNs for Drug Delivery, Design, and Disposition. This prediction tool has a great deal of promise to assist researchers in more successfully designing, developing, and delivering successful medications because of its capacity to learn and self-correct in a very complicated environment. ANN achieved a high level of accuracy exceeding 0.90, along with a sensitivity of 95% and a specificity of 100%, in accurately distinguishing illness. Additionally, the ANN model provided nearly perfect measures of 0.99%. Nanoparticles exhibit potential as a viable therapeutic approach for bacterial infections that are challenging to manage, such as otitis media. The utilization of ANNs has the potential to enhance the effectiveness of nanoparticle therapy, particularly in the realm of automated identification of otitis media. Polymeric nanoparticles have demonstrated effectiveness in the treatment of prevalent bacterial infections in pediatric patients, suggesting significant potential for forthcoming therapeutic interventions. Finally, this study is based on a research of how inner ear diseases have been treated in the last ten years (2012-2022) using machine learning.

Keywords: ANN; Intracochlear administration; Intratympanic; Liposomes; Nanoparticles; Polymeric nanoparticles.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence
Bacterial Infections*
Child
Ear, Inner*
Humans
Labyrinth Diseases* / drug therapy
Otitis Media*
Pharmaceutical Preparations

Substances

Pharmaceutical Preparations