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This study in young Ukrainian men found that specific body measurements, like shoulder width and tibia epiphysis width, are highly predictive of alopecia areata occurrence, though not for its progression, using discriminant models (p<0.001).

This study reported the development of reliable discriminative models using anthropometric and somatotypological indicators to classify Ukrainian women as typical for healthy individuals or those with urticaria, as well as distinguishing between mild or severe acute urticaria, with high accuracy in most cases.

This study suggests that women with polycystic ovary syndrome may have a distinct metabolomic profile, differing in levels of amino acids, organic acids, and lipids compared to controls.

This preliminary study suggests that Raman micro-spectroscopy can help differentiate basal cell carcinoma from hair follicles in skin tissue sections, although some misclassification of hair follicles as carcinoma was observed.

This study found that AI using YOLOv11 architecture can reliably differentiate between hyaluronic acid and silicone oil cosmetic fillers on ultrasound, achieving high accuracy, whereas identifying calcium hydroxyapatite and polymethylmethacrylate remains less consistent, requiring further improvements.