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This paper introduces an algorithm for using smart device-mounted microscopes to analyze scalp images and diagnose hair loss by extracting specific hair loss features.

This review evaluates various kits for isolating platelet-rich plasma using established processing standards and finds they enable compliance with consensus quality criteria; ongoing research is needed to refine these procedures for improved consistency and safety.

The document concludes that hair transplant clinics should focus on effective marketing, online presence, and quality patient care, while the industry should promote high standards and education through organizations like FUE Europe.

In this study, researchers evaluated deep learning methods for diagnosing Alopecia Areata and found that a modified Inception-Resnet-v2 model achieved a high validation accuracy of 97.94% and loss of 10.4%, suggesting it as an effective tool for classifying alopecia-affected hair.

This study of Black and Hispanic inner-city teens found that Norplant retention rates were 71% at one year and 62% at two years, with a history of induced abortion predicting higher continuation.