Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration

This study developed a deep learning model for the automated early detection of androgenetic alopecia using trichoscopic images, and found it demonstrated high accuracy and generalizability in a Korean clinical cohort, achieving a 90% accuracy in external validation.

This review discusses the integration of omics analyses in androgenetic alopecia research, reporting no new clinical results but suggesting that collaborative multi-omics studies may enhance understanding of AGA's pathomechanisms.

This study surveyed dermatologists in Greece and Italy and found significant variability and challenges in the diagnosis and treatment of alopecia areata, including limited use of severity scores and diverse treatment approaches, particularly for special site involvement and chronic cases.

In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.

Measuring the variety in hair thickness can help diagnose male pattern baldness in Korean men.

This consensus statement outlines a treatment algorithm for alopecia areata, detailing systemic treatment indications and options, including EMA-approved medications baricitinib and ritlecitinib for severe cases, as well as other off-label treatments and adjuvant therapies like oral minoxidil.

In this review, the authors discussed how the circadian clock influences hair follicle regeneration by regulating metabolism, suggesting potential new targets for hair loss treatments.

This review discusses the expression of circadian genes in hair follicles and their potential for monitoring circadian-rhythm-related conditions, reporting no clinical results; the authors suggest combining hair sampling with other assessments for better insight.

This study reported that a new deep learning algorithm using Mask R-CNN improved hair follicle classification accuracy by 4 to 15%, suggesting potential clinical application for enhanced hair loss diagnosis.

This study found that repetitive 532 nm laser therapy significantly decreased scores for macules, pigmented, and vascular lesions on the facial area, regardless of skin phototype or age.

This review highlights the limitations of mouse models in human hair loss research and emphasizes the potential of using human cell bioengineered models and artificial intelligence for future advancements, but reports no new clinical results.

This study analyzed deep learning's application to automate hair density measurement in images and found that YOLOv4 had the best performance among tested algorithms, with a mean average precision of 58.67.

This study developed a deep learning framework and quantitative model that accurately predict basic and specific classification in male androgenetic alopecia by analyzing trichoscopic images.

This article proposes a machine learning framework for classifying healthy hair and alopecia areata using image processing and classification techniques, but does not report new clinical findings.

This study demonstrates the potential of infrared spectral imaging to assess hair follicle structures and heparan sulfate proteoglycan distribution across different phases of the hair growth cycle, offering promise for alopecia research.

This article reviews the classification, diagnosis, and management of hair disorders, emphasizing the role of trichoscopy and early diagnosis for effective treatment but reports no new clinical findings.

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.

The article concludes that studying how skin forms is key to understanding skin diseases and improving regenerative medicine.

This review examines recent advances in understanding the pathophysiology and molecular mechanisms of androgenetic alopecia, highlighting two major genetic risk loci, but does not report new clinical findings.

This review discusses various aspects of hair follicle biology and highlights unresolved questions and potential new research avenues, but presents no new experimental findings.

This study established and validated a visual scale to assess hair shedding in women with thick hair, finding it effective in distinguishing greater hair loss among women with female pattern hair loss compared to those without.

This review explores animal models of alopecia areata, particularly focusing on the insights they've provided into the disease's immune mechanisms and potential treatment approaches, without reporting new experimental data.

This review discusses common skin appendage diseases, including their pathophysiology and treatments, but does not report new results.

This study found that thyroxine modulates peripheral molecular clock gene expression in human hair follicles, which may have implications for treating clock-related diseases in patients with thyroid dysfunction.

This article explores the dynamic and energy-efficient nature of telogen hair follicles, challenging the notion of dormancy, and highlights their potential in advancing treatments for hair growth disorders.

This study found that peripheral clock genes, particularly BMAL1 and Period1, modulate human hair follicle cycling, suggesting their potential as therapeutic targets for affecting hair growth.

Alopecia Areata is an autoimmune condition causing hair loss with no cure and treatments that often don't work well.

This study reports a less invasive method for detecting human clock gene expression using hair follicle cells, which accurately reflects individual behavioral rhythms and suggests a time lag issue for rotating shift workers.

This paper argues that the cycling hair follicle serves as a valuable model for systems biology research, highlighting its potential for translational medicine.

This review summarizes fundamental concepts and recent advancements in hair follicle biology, including insights from mouse models into broader molecular and cellular processes relevant to regeneration and development.

This study found that TRPV1 activation in human scalp hair follicles inhibited hair shaft elongation, suppressed proliferation, and induced apoptosis, suggesting TRPV1 as a potential target for managing hair growth and epithelial disorders.

This review introduces the morphological and molecular principles of hair follicle development but reports no new experimental results, focusing on recent insights and forming a working hypothesis.

This study observed that hair follicle mesenchyme in mice exhibits significant plasticity during the hair cycle, with cell migration and changes in papilla size impacting hair production.

CD34 is a marker for isolating stem-like cells in mouse hair follicles.

Stress can cause hair loss and skin issues by affecting hair growth cycles.

This study identified a distinct "exogen" phase in the hair cycle during which hair shedding occurs, primarily coupled with the anagen phase, rather than as part of the telogen phase.

This study demonstrated that multipotent stem cells in adult mice whisker follicles migrate to produce whisker growth, and that this process requires precise control of stem cell trafficking.

In this study, researchers found that hair follicle stem cells in mice can generate both hair follicle and epidermis cells, highlighting their potential bipotency.

This study developed a follicular automaton model that simulates human hair cycle dynamics and can replicate hair pattern changes associated with diffuse or androgenetic alopecia.

In this study, men using 2% and 5% minoxidil solutions experienced a significant increase in hair weight for 96 weeks compared to placebo, with effects diminishing after treatment cessation.

This article discusses the biologic and psychosocial significance of hair, the current limitations in hair growth drugs, and anticipates future therapies based on advancing hair follicle research.

This study found that hair transplant surgeons can use a new model to predict the number and distribution of follicular units in donor scalp areas based on patient hair density.

This study found that using hyaluronic acid microneedles to deliver minoxidil significantly reduced hair loss in chemotherapy-induced alopecia mice, with only 10% of the dose used in topical applications.

This study found that hair canal and follicle diameters, outer root sheath area, and terminal-to-vellus hair ratios were significantly reduced in androgenetic alopecia patients compared to normal controls.

The vellus index is a simple, quick, and reliable method to assess and monitor hair growth, especially in hirsutism.