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This study describes a new treatment algorithm for alopecia areata that includes both disease severity and quality-of-life considerations, highlighting recent therapeutic advances and the need for future validation and access equity.

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.

A deep learning model accurately detects early hair loss signs using scalp images.

This case report describes a 15-year-old girl with features of Becker naevus syndrome, highlighting the importance of DNA analysis from skin to confirm the diagnosis after 9 years of symptoms.

This study describes an adaptive hair extension method designed to improve comfort, durability, and aesthetics, based on analysis of hypothetical client profiles and their biomechanical tolerance.

This study introduces a hair transplantation method combining elliptical excision and micrografting, suggesting it provides significant cosmetic improvements for androgenetic alopecia.

This study introduced a new hair shading model that more accurately simulates light scattering on hair fibers, capturing effects not predicted by previous models.

This study found that while a modified BASP classification for pattern hair loss could classify previously unrecognized types, it was less accurate and harder to use than the existing BASP classification.

This table reports gene set enrichment analysis scores for hair follicle compartments across diseases and sampling methods, providing comparisons but no new experimental findings.

This study found that laser-based goniophotometry can effectively monitor changes in hair surface reflection related to color and cuticle cell tilt across different ethnic origins.

This review discusses an algorithm using patient history, clinical examination, and tests to help diagnose hair loss in women, but it reports no new clinical results.

Some Greek melanoma patients have gene mutations linked to increased cancer risk, a new color feature helps diagnose melanoma, the incidence of a skin condition in the Netherlands is rare, and a gene possibly affects male-pattern baldness.

In this study, machine learning-based computer-aided diagnosis significantly improved accuracy in diagnosing alopecia areata compared to traditional visual methods, achieving up to 91.9% accuracy using different classifiers like CNN, SVM, and random forest models.

This study found that in chimaeric mice models, the pigment distribution and pattern were influenced by the sash genotype, demonstrating the melanocyte-autonomous nature of the beige and leaden loci.

A simple method can show hair's surface pattern.

This study concluded that effective and safe alopecia reduction surgery is possible when specific surgical techniques are used, minimizing complications.

This study found that the BASP classification is an effective and easily remembered method for diagnosing and treating male and female pattern hair loss in the Indian population.

This study used machine learning models, such as Convolutional Neural Networks (CNN), to accurately differentiate False Daisy from similar plants like Smooth Joyweed.

This article discusses the development of skin patterns during embryogenesis and postnatal life, linking them to genetic, environmental, and mathematical factors, but presents no new empirical findings.

This small study reports that a 6-group geometric classification method is more reliable for classifying human hair curl, although a digital system could further reduce errors.

This study found that vismodegib promotes Basal cell carcinoma regression by inducing tumor differentiation but leaves a small population of quiescent cells that can drive relapse, which can be eliminated by adding a Wnt signaling inhibitor.

This paper presents an RGB video microscopic system to monitor optical properties of hair shafts and follicles in vitro, but reports no new clinical results.

This thesis explores how optical coherence tomography and advanced imaging methods may address clinical needs in fields like interventional pulmonology and dermatology, highlighting their potential for disease assessment and staging.

This study analyzed techniques to create the popular "sun-kissed" hair look on dark-to-medium blonde (Level 5–6) tones, concluding that a 2–3 level differential, targeted placement across three cranial zones, and acidic glossing are essential for optimal results.

This study demonstrates that an AI-based grading framework using a novel area ratio metric improves the accuracy and consistency of male pattern hair loss classification, especially in advanced grades, compared to traditional methods.

This review reports that sonidegib and vismodegib, two Hedgehog inhibitors used for treating advanced basal cell carcinoma, have similar efficacy and safety profiles, but differ in pharmacokinetics, with sonidegib achieving peak concentration more rapidly and reaching steady state later than vismodegib.

This study found that vismodegib was effective in treating basal cell carcinoma, achieving complete remission in some patients; however, significant side effects often required careful management to prevent therapy suspension, which can lead to resistance.

This study found that using the new elliptograft punch in hair transplantation resulted in excellent hair density and aesthetic improvement, with high patient satisfaction compared to standard techniques.

This paper describes a new technique using gentian violet to improve visualization during follicular unit extraction in white-haired patients, suggesting it enhances the accuracy of the procedure.