Area-Specific Assessment of Stratum Corneum Hydration and Transepidermal Water Loss in Pediatric Patients With Atopic Dermatitis.

SCORring atopic dermatitis (SCORAD) is widely used to assess the severity of atopic eczema, but score systems based on the entire body may be limited in effective monitoring and intervention. It is crucial to monitor moisture levels in each affected body part, but empirical research is still lacking. The objective of this study was to analyze the levels of stratum corneum hydration (SCH) and transepidermal water loss (TEWL) in atopic dermatitis (AD) patients, focusing on the presence and location of atopic lesions at different body sites.

Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention.

This pioneering study aims to revolutionize self-symptom management and telemedicine-based remote monitoring through the development of a real-time wheeze counting algorithm. Leveraging a novel approach that includes the detailed labeling of one breathing cycle into three types: break, normal, and wheeze, this study not only identifies abnormal sounds within each breath but also captures comprehensive data on their location, duration, and relationships within entire respiratory cycles, including atypical patterns. This innovative strategy is based on a combination of a one-dimensional convolutional neural network (1D-CNN) and a long short-term memory (LSTM) network model, enabling real-time analysis of respiratory sounds.