Polymer-siRNA nanovectors for treating lung inflammation.

Uncontrolled inflammation is the driver of numerous lung diseases. Current treatments, including corticosteroids and bronchodilators, can be effective. However, they often come with notable side effects.

Predicting Severe Respiratory Failure in Patients with COVID-19: A Machine Learning Approach.

Studies attempting to predict the development of severe respiratory failure in patients with a COVID-19 infection using machine learning algorithms have yielded different results due to differences in variable selection. We aimed to predict the development of severe respiratory failure, defined as the need for high-flow oxygen support, continuous positive airway pressure, or mechanical ventilation, in patients with COVID-19, using machine learning algorithms to identify the most important variables in achieving this prediction. This retrospective, cross-sectional study included COVID-19 patients with mild respiratory failure (mostly receiving oxygen through a mask or nasal cannula).

Multiplexed Quantitative Screening of the Cellular Uptake of Proteins Delivered by Polymeric Nanocarriers.

Proteins are important therapeutic agents, yet better methods are needed to deliver them inside of cells. Polymeric nanocarriers (PNCs) are versatile materials for this purpose, and to enhance their development, it is necessary to quantify protein delivery efficiency into cells by numerous PNC designs at the same time. Current strategies for screening PNC systems are qualitative and mostly serial.

Demographic, clinical and laboratory characteristics of extrapulmonary tuberculosis: Eight-year results of a multicenter retrospective study in Turkey.

Extrapulmonary tuberculosis (EPTB) is an important public health problem due to its diverse clinical presentations, diagnostic complexities, and significant impact on patient outcomes and public health. Our study aimed to understand the sociodemographic, clinical, and laboratory characteristics as well as diagnostic and treatment modalities of adult patients with EPTB. This is a multicentric retrospective study that covers patients with EPTB cases followed up from January 2015 to December 2022 among tuberculosis (TB) dispensaries and Infectious Diseases and Clinical Microbiology clinics of 15 hospitals located in various regions of Turkey.

Predictive Significance of Laboratory Tests in Bacteremic Brucellosis.

Background: Brucellosis is one of the most common zoonotic infections. Although culture is the gold standard diagnostic method, bacterial growth in blood cultures may not always occur due to various factors. We aimed to investigate demographic, clinical, and laboratory findings that may have predictive significance for bacteremia in brucellosis.