Epidermal renewal during the treatment of atopic dermatitis lesions: A study coupling line-field confocal optical coherence tomography with artificial intelligence quantifications: LC-OCT reveals new biological markers of AD.
Heiva Le BlayEdouard RaynaudSonia BouayadiElodie RieuxGéraldine RollandAnne SaussineMarie JachietJean-David BouazizBarbara LynchPublished in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2024)
This study provides insights into the quantification of epidermal renewal using a noninvasive imaging technique, highlighting differences between ADL/ADNL and acute/chronic lesions. It also presents the AD treatment mechanism, paving the way for future investigations on AD and other skin barrier function-related conditions.
Keyphrases
- artificial intelligence
- optical coherence tomography
- machine learning
- atopic dermatitis
- big data
- wound healing
- high resolution
- diabetic retinopathy
- liver failure
- mass spectrometry
- combination therapy
- current status
- hepatitis b virus
- respiratory failure
- photodynamic therapy
- room temperature
- liquid chromatography
- replacement therapy
- smoking cessation
- acute respiratory distress syndrome
- fluorescence imaging
- high resolution mass spectrometry