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1. Airway obstruction secondary to vocal cord polyp

   https://doi.org/10.1097/01.JAA.0000000000000124  

   Filarski, Carolyn F; Donald, Carrlene B; Mendez, Anthony P; Lott, David G (January 2024, JAAPA)

   ABSTRACT Patients with vocal cord polyps commonly present with symptoms of hoarseness. Although rare, large polyps can cause shortness of breath and stridor and should be included in the differential for patients with airway obstruction. Dysphonia or hoarseness can be a symptom of underlying disease, such as head and neck cancer. This case illustrates the importance of prompt and accurate diagnosis in a patient with persistent symptoms and a history of smoking. Obtaining a laryngoscopy is crucial to appropriately evaluate the larynx. Proper visualization of the laryngeal structures will help direct patient care toward further diagnostic imaging and medical or surgical intervention if indicated. 

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2. Imaging-Guided Bioreactor for Generating Bioengineered Airway Tissue

   https://doi.org/10.3791/63544  

   Mir, Seyed Mohammad; Chen, Jiawen; Pinezich, Meghan R.; O’Neill, John D.; Guenthart, Brandon A.; Vunjak-Novakovic, Gordana; Kim, Jinho (January 2022, Journal of Visualized Experiments)
3. PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones

   https://doi.org/10.1145/3581791.3596854  

   Yin, Xiangyu; Huang, Kai; Forno, Erick; Chen, Wei; Huang, Heng; Gao, Wei (June 2023, Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services)

   Remote monitoring and evaluation of pulmonary diseases via telemedicine are important to disease diagnosis and management, but current telemedicine solutions have limited capability of objectively examining the airway's internal physiological conditions that are crucial to pulmonary disease evaluation. Existing solutions based on smartphone sensing are also limited to externally monitoring breath rates, respiratory events, or lung function. In this paper, we present PTEase, a new system design that addresses these limitations and uses commodity smartphones to examine the airway's internal physiological conditions. PTEase uses active acoustic sensing to measure the internal changes of lower airway caliber, and then leverages machine learning to analyze the sensory data for pulmonary disease evaluation. We implemented PTEase as a smartphone app, and verified its measurement error in lab-controlled settings as <10%. Clinical studies further showed that PTEase reaches 75% accuracy on disease prediction and 11%-15% errors in estimating lung function indices. Given that such accuracy is comparable with that in clinical practice using spirometry, PTEase can be reliably used as an assistive telemedicine tool for disease evaluation and monitoring. 

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4. Microrheology of gel-forming airway mucins isolated from porcine trachea

   https://doi.org/10.1039/D4SM01343C  

   Engle, Elizabeth M; Yang, Sydney; Boboltz, Allison; Kumar, Sahana; Stern, Alexa; Duncan, Gregg A (June 2025, Soft Matter)

   A method to extract gel-forming mucins from pig trachea is developed. These airway mucins form viscous gels resembling human airway mucus, making them a useful model for lung disease research. 

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5. Phosphorescence in Mn ⁴⁺ -Doped R ⁺ / R ²⁺ Germanates ( R ⁺ = Na ⁺ or K ⁺ , R ²⁺ = Sr ²⁺ )

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   Novikov, Sergei A.; Lu, Yimin; Zhang, Weiguo; Halasyamani, P. Shiv; Hariyani, Shruti; Brgoch, Jakoah; Klepov, Vladislav V.; zur Loye, Hans-Conrad; Mozharivskyj, Yurij (June 2022, Inorganic Chemistry)