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This pilot study employed in-vivo multiphoton microscopy to visualize pigment-producing melanocytes in vitiligo patients, aiming to enhance understanding of treatment impacts and potentially improve transplantation therapies.

This source highlights the utility of cationic polymers in haircare products for protecting against hair damage from chemical treatments and grooming, and describes how microfluorometry can measure polymer deposition and penetration on hair fibers.

This study reports that hair analysis could potentially monitor metformin use in diabetic patients, suggesting a possible correlation between daily dose and concentration in dark hair but not in light hair.

This study developed 3DEEP, a tissue clearing and spatial transcriptomic method, to map hair follicle development in a single time point from a 12-hour-old mouse, detailing molecular stages, signaling dynamics, and structural changes within developing follicles.

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 study describes new devices, "HairMeasure" and "Scalp Zone Identifier," which offer an economical method to calculate Hair Mass Index without disposable materials.

This tool was developed to enhance reproducibility and sensitivity in measuring partial hair regrowth in alopecia areata patients, particularly those undergoing JAK inhibitor therapy, using scalp photographs.

This review covers current knowledge of tricoscopy's applications in diagnosing and monitoring scalp and hair disorders but presents no new clinical results.

This review covers the mechanisms and reported clinical effects of Photobiomodulation therapy, particularly in the fields of plastic surgery and dermatology, without presenting new clinical results.

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 study found that thermoporometry measurements effectively assessed hair porosity, showing that bleaching increases overall pore volume by adding smaller pores, while prolonged bleaching leads to fewer but larger pores likely due to pore-merging.

This study reports that publicly available large language models are currently less accurate than human experts in diagnosing trichoscopic images, suggesting the need for further development and specialized training for these AI tools in trichology.

This study suggests that while low-cost videomicroscopes can correctly identify hair shaft alterations, they may be unreliable for detailed follicular and perifollicular trichoscopic examination compared to standard videodermatoscopes.

This study found that trichoscopic measurements of hair density and diameter are useful for assessing the severity of female pattern hair loss and its progression.

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

This case study suggests that thermography could objectively assess pain severity in herpes zoster patients by correlating thermal images with reported pain intensity.

This study found that using planimetric surface area measurement might be a useful supplementary method to improve the accuracy of SALT scoring in alopecia areata, particularly for scores S1 to S3.

In this study, authors reported that reflectance confocal microscopy may aid in diagnosing trichofolliculoma by identifying specific features correlated with histopathology that can be difficult to discern with other methods.

This study reported the development of a workflow that combines SIMS and X-ray elemental mapping techniques for multimodal imaging at the single cell level, successfully applied to visualize elements, metals, and lipids in porcine skin without loss or delocalization.

Method detects finasteride in plasma and semen with high sensitivity and accuracy.

This study found that human hair follicles demonstrated a dose-dependent response to light in an ex vivo photoepilation model, which could predict the clinical efficacy and permanency of light-based hair removal devices.

This study found that psoriasis patients with scalp involvement had a significantly lower anagen ratio and higher telogen ratio compared to healthy individuals, indicating an association with an increased telogen/anagen ratio.

This study demonstrated that current facial recognition software can accurately identify individuals from MRI head scans within minutes, highlighting significant privacy concerns for clinical trial participants and the need for enhanced data protection measures.

This study developed a support vector machine model using trichoscopic patterns to accurately classify androgenic alopecia severity, with an accuracy of 94.3% in training and 90.0% in test datasets.

This study found that both spironolactone with Ovysmen and cyproterone acetate with ethinyloestradiol significantly reduced hair growth in hirsute women, with no difference in effect between treatments.

This narrative discusses the importance of composing a picture with balanced and harmonious elements but reports no new findings.

This study presents a method using polarization-sensitive optical coherence tomography to accurately assess the depth of burn wound damage in the dermal collagen matrix, potentially improving diagnosis beyond traditional visual methods.

This article provides guidelines for designing aesthetically pleasing hairlines using topographical landmarks, but reports no new clinical results.

This review discusses the strong correlation between reflectance confocal microscopy images and horizontal histopathology in diagnosing skin tumors, highlighting the reliability of this non-invasive technique; no new clinical results are reported.