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Research 61–90 of 1000+
- HAIR LOSS IN WOMEN
- MOUSE MODELS FOR THE STUDY OF HUMAN HAIR LOSS
- HAIR DISEASES
- Hair and Scalp Diseases
- Syphilis presenting as hair loss.
- Association Between Hair Diseases and COVID-19 Pandemic-Related Stress: A Cross-Sectional Study Analysis
- Methods of hair loss evaluation in patients with endocrine disorders.
- Advances in Hair Diseases
- The Relationship Between Patient-Reported Severity of Hair Loss and Health-Related Quality of Life and Treatment Patterns Among Patients with Alopecia Areata
- Hair diseases: a big problem on a small surface
- Is prediabetes risk factor for hair loss?
- Hair loss disorders in domestic animals
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Effect of COVID-19 on Hair Diseases Observed by Health Care Providers: Analysis of 513 participants
- Prevalence of Hair Loss After COVID-19 Infection in Makkah Region, Saudi Arabia
- Hair Loss as a Late Complication of Multisystem Inflammatory Syndrome in Children
- Characterizing hair loss in the elderly: an observational study of 163 patients
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- Hair diseases in childhood
- ABC of Dermatology: Diseases of the hair and scalp
- The follicular microbiome in hair-follicle-associated inflammatory diseases: A systematic review
- Hair Loss Associated With IL ‐17 and IL ‐23 Inhibitors: A Systematic Review
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- Hair Loss: Diagnosis and Treatment.
- Features of pharmaceutical consulting by specialists of pharmacy institutions for the problem of hair loss in pharmacy visitors
- Identifying critical cell types and gene regulatory pathways for hair and skin disease
- Hair loss is a symptom of many complex medical and psychological problems
- Summary of Hair Diseases: Cicatricial and Non-Cicatricial
- A clinico-etiological evaluation of hair loss in rural Indian children – A cross sectional study
- Classification of hair disease