Nanocatalysts as fast and powerful medical intervention: Bridging cochlear implant therapies and advanced modelling using Hidden Markov Models (HMMs) for effective treatment of inner ear infections

• Published in: Environmental research 2023-09, Vol.232, p.116285-116285, Article 116285
• Main Authors: Huang, Zhongguan, Chen, Shuainan, Zhang, Guodao, Almadhor, Ahmad, Li, Rujie, Li, Meixuan, Abbas, Mohamed, Nguyen Le, Binh, Zhang, Jie, Huang, Yideng
• Format: Article
• Language: English
• Subjects: Hidden Markov Models (HMMs); Instrument detection; Nanocatalyst-loaded cochlear implants; Surgical phases; Targeted treatment
• ISSN: 0013-9351; 1096-0953
• DOI: 10.1016/j.envres.2023.116285

As human population growth and waste from technologically advanced industries threaten to destabilise our delicate ecological equilibrium, the global spotlight intensifies on environmental contamination and climate-related changes. These challenges extend beyond our external environment and have significant effects on our internal ecosystems. The inner ear, which is responsible for balance and auditory perception, is a prime example. When these sensory mechanisms are impaired, disorders such as deafness can develop. Traditional treatment methods, including systemic antibiotics, are frequently ineffective due to inadequate inner ear penetration. Conventional techniques for administering substances to the inner ear fail to obtain adequate concentrations as well. In this context, cochlear implants laden with nanocatalysts emerge as a promising strategy for the targeted treatment of inner ear infections. Coated with biocompatible nanoparticles containing specific nanocatalysts, these implants can degrade or neutralise contaminants linked to inner ear infections. This method enables the controlled release of nanocatalysts directly at the infection site, thereby maximising therapeutic efficacy and minimising adverse effects. In vivo and in vitro studies have demonstrated that these implants are effective at eliminating infections, reducing inflammation, and fostering tissue regeneration in the ear. This study investigates the application of hidden Markov models (HMMs) to nanocatalyst-loaded cochlear implants. The HMM is trained on surgical phases in order to accurately identify the various phases associated with implant utilisation. This facilitates the precision placement of surgical instruments within the ear, with a location accuracy between 91% and 95% and a standard deviation between 1% and 5% for both sites. In conclusion, nanocatalysts serve as potent medicinal instruments, bridging cochlear implant therapies and advanced modelling utilising hidden Markov models for the effective treatment of inner ear infections. Cochlear implants loaded with nanocatalysts offer a promising method to combat inner ear infections and enhance patient outcomes by addressing the limitations of conventional treatments. •Nanocatalyst-loaded cochlear implants offer targeted treatment for inner ear infections.•Enhanced therapeutic outcomes with controlled release of nanocatalysts.•Effectiveness demonstrated in eliminating infections and promoting tissue regeneration.•Hidden Marko