Iron Deficiency and All-Cause Hospitalization Risk in a Clinical Cohort of COPD.

Background: The impact of iron deficiency on COPD morbidity independent of anemia status is unknown. Understanding the association between iron deficiency, anemia status, and risk of hospitalization in COPD may inform an approach to these comorbidities.

Study Design And Methods: Adults ≥40 years from the Johns Hopkins COPD Precision Medicine Center of Excellence data repository with an outpatient iron profile and 1 year of subsequent follow-up time were included in the study.

Biomolecular Interaction of Carnosine and Anti-TB Drug: Preparation of Functional Biopeptide-Based Nanocomposites and Characterization through In Vitro and In Silico Investigations.

Host-directed therapies (HDTs) resolve excessive inflammation during tuberculosis (TB) disease, which leads to irreversible lung tissue damage. The peptide-based nanostructures possess intrinsic anti-inflammatory and antioxidant properties among HDTs. Native carnosine, a natural dipeptide with superior self-organization and functionalities, was chosen for nanoformulation.

Development and External Validation of a Machine Learning Model to Predict Restriction from Spirometry.

Background: Though European Respiratory Society and American Thoracic Society (ERS/ATS) guidelines for pulmonary function test (PFT) interpretation recommend the use of the forced vital capacity (FVC) lower limit of normal (LLN) to exclude restriction, recent data suggest that the negative predictive value (NPV) of the FVC LLN is lower than has been accepted, particularly among non-Hispanic Black patients. We sought to develop and externally validate a machine learning (ML) model to predict restriction from spirometry and determine whether its use may improve the accuracy and equity of PFT interpretation.

Methods: We included PFTs with both static and dynamic lung volume measurements for patients between 18 and 80 years of age who were tested at pulmonary diagnostic labs within two health systems.

Hand Gesture Recognition for Blind Users by Tracking 3D Gesture Trajectory.

Hand gestures provide an alternate interaction modality for blind users and can be supported using commodity smartwatches without requiring specialized sensors. The enabling technology is an accurate gesture recognition algorithm, but almost all algorithms are designed for sighted users. Our study shows that blind user gestures are considerably diferent from sighted users, rendering current recognition algorithms unsuitable.