research In the Empire of Images: Preface to the Tenth Anniversary Edition
Media images promote unrealistic beauty standards, affecting body image and eating disorders globally.
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research An Evaluation System to Enhance Patient Selection for Alopecia-Reducing Surgery
The evaluation system improved patient selection for hair loss surgery, leading to better results and satisfaction.
research Connection between granulosa cell pyroptosis and oocyte endoplasmic reticulum stress in a mouse model of polycystic ovary syndrome
Reducing granulosa cell pyroptosis may improve oocyte maturation in PCOS.
research Alopecia Areata Treatment Patterns and Satisfaction: Results of a Real-World Cross-Sectional Survey in Europe
Current treatments for severe alopecia areata are unsatisfactory, highlighting the need for better options.
research Enhancing Endometrial Health in Assisted Reproductive Technology (ART): Evaluating Autologous Endometrial Cells and Platelets-Rich Plasma (PRP) via Hysteroscopic Injections
Injecting endometrial cells and PRP can improve pregnancy chances in ART.
research Exploring Tectona grandis: Phytochemicals, medicinal value, and green innovations: A review article
Teak has valuable compounds for medicine, cosmetics, and industry, with potential in cancer treatment and biodiesel production.
research Perspectives and Challenges of Hair Analysis
Hair is a complex organ, and understanding its detailed structure and growth phases is crucial for analyzing substances within it.
research Treatment of Hidradenitis Suppurativa Evaluation Study: the THESEUS prospective cohort study
Laser treatment and deroofing are effective options for hidradenitis suppurativa.
research Dermoscopy of Hair and Scalp Disorders (Trichoscopy) in Skin of Color—A Systematic Review by the International Dermoscopy Society “Imaging in Skin of Color” Task Force
More research is needed to understand hair and scalp disorders in people with skin of color.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.