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The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Dermoscopy has greatly improved the diagnosis of skin lesions and our understanding of their morphology and biology.

Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.

A new model can predict drug-disease links well, helping drug research.

Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.

An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.

High-frequency ultrasound can effectively visualize and assess hair loss.

A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.

GoogLeNet is the best model for identifying folliculitis.

FGF10 and non-coding RNAs are important for cashmere goat hair follicle development.

The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.

The new method improves facial image restoration quality and face recognition accuracy.

The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.

The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.

The new automatic tool accurately measures hair thickness and is reliable.

Children's screen time increased during the pandemic, causing various health issues.

Lupus patients' body image issues significantly affect their mental health and need more support.

Vascular patterns in dermoscopy help tell apart malignant and benign skin tumors.

Understanding psychological discomfort in hair loss can improve treatment outcomes.

Changing neuroactive steroids in baby male rats affects their memory and learning differently as they grow up.

Pediatric dermatologists need to understand the unique skin health needs of LGBTQIA youth to provide better care.

High-resolution imaging is crucial for diagnosing and planning treatments in clinical anatomy and aging.

The document concludes that it's important to recognize and treat hair loss in women of color, considering their unique hair characteristics and psychological impact.

Hair loss affects self-esteem and quality of life; treatments can help.

Early recognition and treatment of Peripheral Arterial Disease is crucial to improve survival and health outcomes.

Early treatment helps stop hair loss in women of color.

Men are increasingly removing body hair for looks and cleanliness, and while hair loss can cause distress, it doesn't affect their self-esteem as much as it does in women.

Polycystic Ovary Syndrome (PCOS) affects Iranian women's feelings of femininity and self-image.

The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.