AI Article Synopsis

  • Significant advancements in drug delivery methods for inner ear treatments have emerged, utilizing innovative technologies like nanoparticles and hydrogels, alongside traditional techniques.
  • Intracochlear devices are being developed to administer medications directly into the inner ear, facilitating treatments such as stem cell therapy and the delivery of neurotrophic factors during cochlear implantation.
  • Artificial neural networks (ANNs) are showing promise in pharmaceutical research by improving drug design and delivery, particularly enhancing the effectiveness of nanoparticle therapies for conditions like otitis media, with high accuracy in disease identification.

Article 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.

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Source
http://dx.doi.org/10.1016/j.envres.2023.116457DOI Listing

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