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This review discusses advanced techniques for investigating stem cell fate at the single-cell level, including lineage tracing, time-lapse imaging, and molecular profiling, but reports no new research results.

This study concluded that estimating split thickness skin graft take by observation is as reliable as using the Image J digital program.

This study introduces AlopeciaDet, a novel feature fusion technique, using camera images to detect Alopecia Areata with 99.45% accuracy, outperforming existing methods by leveraging CRSHOG and ResNet-50 features.

This review highlights that AI-based echocardiography in cardiology can enhance diagnostic precision, automation, and therapeutic strategy development, but also presents challenges like diagnostic errors and high costs, indicating a cautious yet promising progression in its adoption.

This review discusses the potential of using high-throughput and high-content screening methods for drug repositioning in rare diseases and reports no new results.

In this study, a new shading model for hair was developed that better matches real-life light scattering, thanks to detailed new measurements of hair fiber scattering not predicted by existing models.

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 demonstrated that molecular dynamics simulations of keratin could effectively model the mechanical properties of hair, aligning well with experimental data, especially when conducted in vacuum conditions.

In this study, researchers developed a machine learning model that accurately diagnosed scalp conditions like fine dandruff and perifollicular erythema with 75% and 82% accuracy, respectively, and created a user-friendly web platform for scalp health self-assessment, which achieved high user satisfaction.

A new tool helps better assess and treat hair loss in Chinese men.

This systematic review provides an in-depth evaluation of non-invasive imaging and biophysical methods for diagnosing and monitoring vitiligo, emphasizing the need for studies with larger sample sizes to verify their use in clinical practice and research.

This study produced a high-coverage genome of the Tyrolean Iceman, revealing no Steppe-related ancestry but significant Anatolian-farmer-related ancestry, and found genetic markers associated with darker skin, male-pattern baldness, type 2 diabetes, and obesity, aligning with observations of his mummified body.

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 explored deep learning's potential in diagnosing scalp conditions like alopecia, psoriasis, and folliculitis, using a two-dimensional Convolutional Neural Network, achieving high accuracy and precision despite challenges of a small and uneven dataset.

This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.

This article describes the immunofluorescence tomography method to achieve high-resolution 3-D reconstruction of epithelial tissues and reports no clinical results.

This study applied semantic text-mining to identify phenotypes linked to over 6,000 diseases, demonstrating that these phenotypes can accurately identify known disease-associated genes, creating a human disease network based on phenotypic similarity.

This study found that the interaction between heat shock protein 90 and lamin A/C is crucial for the growth, migration, and self-aggregation of dermal papilla cells, suggesting a potential role in alopecia areata mechanisms.

In this study, the researchers reported that their novel algorithm for hair restoration in dermoscopy images achieved high accuracy and texture preservation, outperforming other techniques in diagnostic accuracy and texture quality measures.

In this study, researchers found that wound healing in mouse skin recruits diverse fibroblasts, including myeloid-derived cells, which contribute to regenerating adipocytes.

This study found that transcriptome profiling of cashmere goat skin revealed key genes and pathways involved in hair follicle initiation, differentiation, and maturation, which are critical for improving fleece production.

This study found that cardiac fibroblasts significantly enhance the maturation of neonatal mouse and human embryonic stem cell-derived cardiomyocytes, suggesting a pivotal role in postnatal heart development and disease.

In this study, a novel electrochemical sensor using a molecularly imprinted polymer was developed for the sensitive detection of minoxidil, successfully measuring its concentration in real samples.

In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.

In this study, researchers used EHR data from two large PCORnet networks to identify a range of long COVID diagnoses, highlighting varying post-acute risks across populations in NYC and Florida.

This study identified aging-related epigenetic and transcriptomic biomarkers and suggested that curcumin might target and inhibit the JUN gene, implicating potential therapeutic strategies against aging.

This study analyzed pexidartinib-associated adverse events from FDA data and reported common events such as hepatic issues and systemic reactions. It highlighted sex-specific susceptibilities and reinforced the need for risk mitigation and long-term monitoring in tenosynovial giant cell tumor management.

This study identified genes potentially involved in the development and differentiation of skin appendages in Atelerix albiventris, noting significant enrichment of immune-related genes in hair-type tissues.

This study observed that testosterone concentrations in hair segments show some stability over time, but are influenced by factors like sebum integration, hair washing frequency, and individual hair growth rates.

In this study, researchers measured the solubility of Minoxidil in supercritical CO₂ under various temperature and pressure conditions and created models to estimate solubility based on different predictive approaches.