In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks

In this study, researchers used advanced four-dimensional optical imaging techniques to observe changes in skin afflicted with acne, finding increased epidermal thickness, keratinized hair follicles, inflammation, and aggregated blood flow, helping to distinguish between inflammation and reparative phases of acne progression.

This practical guide introduces methods to study human dermal white adipose tissue but does not report new clinical results, emphasizing available techniques and staining protocols.

This study found that the acyl-CoA binding protein is essential for the production of very long chain free fatty acids in the stratum corneum and maintaining normal epidermal barrier function in mice.

This study used in vivo confocal microscopy and a ResNet34 deep learning model to classify meibomian gland images with an AUROC greater than 0.95, indicating its potential for automatic diagnosis and screening of meibomian gland dysfunction.

Minoxidil helps hair regrowth in alopecia areata safely.