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This study demonstrated that cryogelation of human hair keratin allows the development of 3D scaffolds with tunable properties, supporting cell adhesion and proliferation for potential biomedical applications.

This genetic study identified a potential interval for the Marie Unna hypotrichosis gene but found no mutations in the nearby hr gene, suggesting its involvement remains unconfirmed.

This dissertation reported that the loss of Ovol2 impairs hair follicle regeneration and wound repair in mice, highlighting its role in regulating directional migration of epithelial cells.

In this study, the researchers identified CEP135 as a biomarker linked to poor sarcoma survival and suggested PLK1 as a potential therapeutic target for sarcoma patients with high CEP135 expression.

This case report documents a female toddler with novel compound heterozygous mutations in the VDR gene causing hereditary 1,25-dihydroxyvitamin D-resistant rickets, expanding the known mutation spectrum for this disease.

In this study, researchers developed de novo designed hetero-bifunctional proteins as an alternative approach for targeted protein degradation, successfully targeting BCL-xL for degradation in cells and inducing apoptosis, which may expand the range of addressable E3 ligases and disease targets.

In this in silico study, researchers found that the hair follicle's contribution to dermal permeability of small molecules varies with the lipophilic and hydrophilic properties of substances, highlighting the need for careful characterization of substances filling the follicular route when interpreting experimental permeability data.

This study reports that carbamazepine can self-assemble into stable channel structures without guest polymers, while griseofulvin relies on guest molecules for structural stability in drug-polymer inclusion complexes.

This study found that many conditions in patients with COVID-19 were significantly increased compared to controls, with specific phenotypes identified across different demographic and diagnostic attributes.

In this research, the authors identify coordinated mechanical forces as crucial for hair follicle development in mammals, with contractile, proliferative, and proteolytic activities facilitating the formation and sectioning of epithelial structures crucial for forming a functional tissue.

This study found that neonatal Regulatory T cells are crucial for maintaining PPARγ signaling in hair follicles, which supports melanocyte stem cell function and skin pigmentation during early postnatal development.

In this study, researchers found that impaired cholesterol biosynthesis in hair follicles may trigger an inflammatory immune response linked to primary cicatricial alopecia, providing new insights into the disorder's pathogenesis.

This study found that individuals with lichen planopilaris reported lower quality of life and self-esteem and higher depression scores compared to healthy controls.

This study found that biologic rhythms in mammoth hairs differed from those in modern human hair, with variations in growth rates and mineral content providing insights into the lifestyle and behavior of extinct species.

This study found that activation or inhibition of Wnt/β-catenin and Notch signaling pathways in rats can alter wound healing, possibly by affecting epidermal stem cell activity and keratinocyte behavior.

This study identified four ferroptosis-related genes, SLC40A1, LCN2, CREB5, and SLC7A11, as potential diagnostic markers for alopecia areata, revealing reduced expression in affected patients compared to controls, with a predictive model showing high accuracy in differentiating the condition.

This study reviews the evolution and modifications of microneedle drug delivery systems, initially designed for percutaneous use, now expanded for targeting a variety of tissues and organs such as ocular, oral mucosal, and gastrointestinal, suggesting widespread future applicability.

This research used computational methods to identify potential new treatments for benign prostatic hyperplasia, finding three compounds from Ghanaian plants with promising binding energy against 5alpha reductase 2 compared to existing drugs, yet further in vitro validation is necessary to confirm their efficacy.

This review highlights that gut dysbiosis and bacterial extracellular vesicles are key factors in PCOS pathophysiology, and suggests AI-driven analysis of these profiles could enhance diagnostic accuracy and treatment personalization, though ethical concerns like data privacy and bias must be considered.

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.

In this study, researchers used computational modeling and virtual screening to identify two FDA-approved drugs, Tadalafil and Finasteride, that may effectively inhibit key proteins involved in melanoma progression, suggesting potential for new therapeutic strategies against aggressive melanoma.

This review highlights the evolution of forensic genetics from basic DNA analysis to complex genome-wide studies, enabling insights into personal traits, ancestry, and habits, and suggests future advancements through technologies like CRISPR and AI.

This study used light sheet fluorescence microscopy to successfully image and analyze calcium oscillations in the root hairs of Arabidopsis thaliana, finding that these oscillations correlate with the root hair growth rate and that auxin affects these properties.

In this study, the researchers used machine learning techniques on an image dataset to diagnose Alopecia Areata, achieving a maximum accuracy of 98.3%.

This study developed BroadAMP-GPT, a computational-experimental framework, to discover new antimicrobial peptides, identifying candidates effective against multidrug-resistant pathogens. Notably, AMP_S13 showed strong stability, low toxicity, and efficacy in infection models, highlighting the platform's potential in combating antimicrobial resistance.

This study found that their newly developed ADRL framework significantly improved the accuracy of scalp tissue layer segmentation in HR-MR images compared to existing methods.

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 research explored the use of machine learning and deep learning methods to accurately identify alopecia areata in humans by analyzing facial images and demonstrated the potential of these techniques for medical, security, and commercial applications.

In this study, researchers created the WRAHPS Guidelines to standardize the reporting of preclinical wound healing studies, aiming to improve transparency, enable comparative analysis, and support the development of human clinical trials for wound healing disorders.

This review outlines key considerations for designing fluorescence microscopy experiments in cell biology, discussing the importance of hardware availability, suitability of biological models, and imaging agents to achieve high-resolution and informative images.