Assessment of work-related stress utilizing the Find My Stress mobile application among university students and adult workers amidst the COVID-19 pandemic.

Objectives: This cross-sectional study aimed to evaluate work-related stress and the efficacy associated with the newly developed Find My Stress mobile application. The global impact of the COVID-19 pandemic has significantly influenced the quality of life, transcending geographical boundaries and inducing stress that has detrimentally affected health and work efficiency.

Methods: A total of 440 male and female participants, comprising university students and adult workers, were enrolled in the study.

Development of a diagnostic support system for the fibrosis of nonalcoholic fatty liver disease using artificial intelligence and deep learning.

Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tissue, subsequently able to progress to cirrhosis or possibly hepatocellular carcinoma. The development of artificial intelligence and deep learning have begun to play a significant role in fibrosis detection. This study aimed to develop SMART AI-PATHO, a fully automated assessment method combining quantification of histopathological architectural features, to analyze steatosis and fibrosis in nonalcoholic fatty liver disease (NAFLD) core biopsies and employ Metavir fibrosis staging as standard references and fat assessment grading measurement for comparison with the pathologist interpretations.