Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities.

Background: Using artificial intelligence (AI) to interpret chest X-rays (CXRs) could support accessible triage tests for active pulmonary tuberculosis (TB) in resource-constrained settings.

Methods: The performance of two cloud-based CXR AI systems - one to detect TB and the other to detect CXR abnormalities - in a population with a high TB and human immunodeficiency virus (HIV) burden was evaluated. We recruited 1978 adults who had TB symptoms, were close contacts of known TB patients, or were newly diagnosed with HIV at three clinical sites.

Validation of a Fingertip Home Sleep Apnea Testing System Using Deep Learning AI and a Temporal Event Localization Analysis.

Study Objectives: This paper validates TipTraQ, a compact home sleep apnea testing (HSAT) system. TipTraQ comprises a fingertip-worn device, a mobile application, and a cloud-based deep learning artificial intelligence (AI) system. The device utilizes PPG (red, infrared, and green channels) and accelerometer sensors to assess sleep apnea by the AI system.

Tongue Muscle Training App for Middle-Aged and Older Adults Incorporating Flow-Based Gameplay: Design and Feasibility Pilot Study.

Background: Complications due to dysphagia are increasingly prevalent among older adults; however, the tediousness and complexity of conventional tongue rehabilitation treatments affect their willingness to rehabilitate. It is unclear whether integrating gameplay into a tongue training app is a feasible approach to rehabilitation.

Objective: Tongue training has been proven helpful for dysphagia treatment.

Senolytic treatment attenuates immune cell infiltration without improving IAV outcomes in aged mice.

Aging is a major risk factor for poor outcomes following respiratory infections. In animal models, the most severe outcomes of respiratory infections in older hosts have been associated with an increased burden of senescent cells that accumulate over time with age and create a hyperinflammatory response. Although studies using coronavirus animal models have demonstrated that removal of senescent cells with senolytics, a class of drugs that selectively kills senescent cells, resulted in reduced lung damage and increased survival, little is known about the role that senescent cells play in the outcome of influenza A viral (IAV) infections in aged mice.

The Relationship Between Resilience and Mental Health Status Among Nurses With Workplace Violence Experiences: A Cross-Sectional Study.

Nurses encounter many stressors and challenges at work, which can negatively affect their mental and physical health. Modern theories of resilience suggest that resilience is a dynamic process of positive adaptation to adversity. This process involves personal growth through adversity, developing effective coping strategies and inculcating the ability to cope with stress.