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The patches could quickly deliver epilepsy treatment and reduce seizures.

In this study, researchers found that the female plumage color variations in the common cuckoo are linked to the female-restricted genome and suggest this pattern is maintained by balancing selection, sharing ancestry with the oriental cuckoo.

This study reported that alopecia in giant pandas may be linked to abnormal expression of several hair-related genes and pathways, providing insight for potential prevention and treatment strategies.

In this study, researchers created a detailed human skin cell atlas by analyzing over 700,000 cells, finding that disrupted communication among specific immune and stromal cell subsets may play a key role in initiating and sustaining chronic skin inflammation in atopic dermatitis.

This study explored the molecular mechanisms determining the identity of keratinocytes and corneal epithelial cells, finding that miRNAs from the Gtl2-Dio3 region, which regulate key signaling pathways, play a significant role in cell identity through the Hox/Gtl2-Dio3 miRNA axis.

This study found that the antiviral drug daclatasvir significantly improved fibrosis and quality of life in a mouse model of recessive dystrophic epidermolysis bullosa, suggesting potential for treating this and other fibrotic diseases.

This study explored the molecular communication between hair matrix cells and dermal papilla cells in cashmere goats, revealing key ligand-receptor pairs and signaling pathways that facilitate intercellular crosstalk and potentially influence hair growth mechanisms.

This study found that LC-MS/MS assays provided more reliable and precise steroid measurements in human serum compared to traditional immunoassays, particularly at lower concentrations.

This study used single-cell RNA sequencing to analyze 26,573 cells from the scapular skin of yaks, identifying 11 major cell types and providing insights into the diversity and morphogenesis of hair follicle cell types through detailed maps of DP cells and dermal fibroblasts.

In this study, researchers found that human fingerprint ridges are formed through a modified hair follicle developmental process and spatial patterns influenced by specific signaling pathways.

This review summarizes the use of 3D printing technologies for creating microneedles and evaluates their associated benefits, challenges, and regulatory considerations, but does not present new experimental results.

In this study, transgenic mice with Rank expression in hair follicles showed excessive lymph node growth, which could be normalized by neutralizing the overproduced RANKL, underscoring its role in immune system regulation.

This review discusses ichthyosis with confetti, highlighting its genetic basis, clinical features, diagnostic criteria, and current treatment options but reports no new clinical results.

This study found that zebrafish and sticklebacks, despite differences in their tooth regeneration structures, share a similar genetic program during tooth regeneration, suggesting a conserved "successional dental epithelium" in vertebrates.

This study found that mice lacking the CXCR2 receptor regenerated tissue scarlessly in various injury models and that administering plasma or G-CSF from these mice to wild-type mice also reduced scarring, suggesting potential therapeutic strategies to improve human skin wound healing.

In this laboratory study, researchers observed that mouse vascular endothelial cells exhibit dynamic changes after exposure to ionizing radiation, including a transient endothelial subpopulation that facilitates vascular-epidermal communication and skin repair, with shifting roles in angiogenesis and immune surveillance over time.

In this study, researchers demonstrated that human hair follicle outer root sheath cells release ATP, serotonin, and histamine in response to mechanical stimulation, which subsequently activates surrounding sensory neurons.

This review suggests that hyperspectral and terahertz imaging show promise in non-invasively assessing scalp changes associated with hair loss, but further validation is needed for clinical application.

This abstract omits specific findings and does not provide new research results.

In this study, primary cilia were found to contribute to meibomian gland enlargement and lipid production, though they are not necessary for normal gland development.

This study found that Arabidopsis mutants with disrupted auxin conversion pathways displayed low auxin phenotypes and increased biosynthetic gene expression, suggesting a feedback mechanism maintains auxin homeostasis.

This study found that among various predictive models for baldness risk, Random Forest Regression performed best with the lowest mean squared error and highest R², indicating strong predictive accuracy, especially with complex datasets, while Linear Regression was better suited to simpler datasets.

This mathematical model of alopecia areata illustrates how inflammatory autoimmune responses interrupt the anagen phase of hair growth, and may help evaluate treatments and identify new therapeutic targets.

In this study, researchers suggest that hair follicle miniaturization in conditions like androgenetic alopecia may result from impaired conversion of quiescent stem cells to progenitor cells, influenced by the follicular niche, its collagen network, and various mechanical constraints.

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%.

This review examines the neuroendocrine mechanisms underlying seasonal changes in mammals and highlights areas needing further research, reporting no new experimental results.

This study used in vivo confocal microscopy and a ResNet34 deep learning model to classify meibomian gland images with an AUROC greater than 0.95, indicating its potential for automatic diagnosis and screening of meibomian gland dysfunction.

This study found that self-supervised pretraining significantly improves accuracy in medical image classifiers for dermatology and chest X-ray tasks, outperforming supervised baselines and showing robustness to distribution shifts with limited labeled data.

This review discusses how the nuclear lamina integrates biochemical and mechanical signals to influence gene expression and skin homeostasis, but reports no new clinical results.

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.