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This study found that postmenopausal women with lichen planopilaris showed a high prevalence of androgen excess, while women with frontal fibrosing alopecia were often associated with androgen deficiency.

This retrospective study found that serum hormone levels and MRI detection of ovarian nodules contributed to distinguishing virilizing ovarian tumors from ovarian stromal hyperthecosis in postmenopausal women, though histopathology remains crucial for diagnosis.

This study found that in men with androgenetic alopecia, elevated triglycerides were the only factor consistently associated with the condition, suggesting a potential link between AGA and lipid metabolism, although other hormonal, metabolic, and sleep factors were not significantly different after propensity score matching.

In this study, researchers proposed a deep learning approach combining genetic, hormonal, scalp health, and lifestyle data to predict hair loss, employing CNNs for image analysis and RNNs for modeling data over time, although specific results are not reported.

In this study, patients with lichen planopilaris showed higher prevalence of autoimmune disorders like Hashimoto's thyroiditis and hypothyroidism compared to those with seborrheic dermatitis.