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This study systematically examines how smart biomaterials used with DLP technology can enhance bioprinting in tissue engineering and regenerative medicine, while also identifying current challenges and future research needs.

This study identified thousands of variant-metabolite associations in the human plasma metabolome, offering insights into the genetic bases of metabolism and potential adverse drug effects.

This review explores the structure and development of the hair cuticle, highlighting difficulties in studying some aspects and proposing new experimental approaches, but reports no new clinical results.

This study found that Hirosaki hairless rats experience transient activation of STAT5A in the mammary glands during early lactation, involving O-GlcNAc modification rather than Tyr-phosphorylation.

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 found that MED1 plays a role in maintaining keratinocyte quiescence and hair follicle stem cell populations, as its absence in mice led to increased keratinocyte proliferation and reduced stem cell numbers.

This review discusses how engineering cell surfaces with polyelectrolytes can address challenges in cell therapy and related biomedical fields and reports no new research findings.

This study found diverse responses to the androgen dihydrotestosterone in rodent tissues, with most androgen-regulated processes being specific to particular tissues.

This study in male mice found that testosterone provides strong protection against skin necrosis after ischemia, working through its estrogenic and androgenic derivatives to enhance skin survival and revascularization, with 17β-estradiol being notably more effective than dihydrotestosterone.

This study found that an optimized hydrogel combined with human umbilical cord-mesenchymal stem cells accelerated wound healing in diabetic mice by improving cell adhesion and reducing inflammation.

This study used whole-genome sequence data to identify numerous putative causal variants and genes affecting key wool traits and skin wrinkle in Merino sheep, highlighting their polygenic and pleiotropic nature.

This study used a glucocorticoid-injection model to mimic kidney-yang deficiency syndrome and reported symptoms related to hormonal imbalances in the hypothalamic-pituitary-target gland axes.

This study discusses the potential of advanced imaging technologies in dermatology to improve diagnostic accuracy and reduce the need for invasive procedures like biopsies, while noting significant barriers in adoption and accessibility in India due to costs and infrastructure constraints.

This study reports the development of a novel protocol to purify human TRPV3 ion channels, revealing functional properties and differences in ligand interactions, enabling further structural and functional research.

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

This study found that injectable gelatin/metal/tea polyphenol double nanonetworks significantly accelerated wound healing in diabetic wounds by enhancing cell migration and providing anti-inflammatory and antioxidant properties, without detectable cytotoxicity in tests.

This review examines how mathematical modeling of the MAPK pathway, enhanced by single-cell proteomic data, improves understanding of regulatory mechanisms, predicts system behavior, and guides experimental research, emphasizing recent developments in modeling and inference.

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.

This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.

This review discusses the growing role of colorimetric sensors in food safety, highlighting their potential to enhance detection accuracy and manageability, while also noting challenges such as environmental interference and the need for further industrial validation.

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 article highlights that early and high-dose corticosteroid therapy, along with immunosuppressive agents, is crucial for managing Vogt-Koyanagi-Harada disease, and emerging biological therapies may benefit refractory cases.

In this study, researchers used transcriptome sequencing and bioinformatics analysis to identify important genes and pathways involved in the transition between hair growth phases, offering new insights into hair follicle cycle regulation and development.

This study concluded that exclamation mark hairs are the most reliable marker of disease activity in alopecia areata, with broken hairs, triangular hairs, and black dots also increasing the probability of active disease.

This study identified a new genetic variant in the KRT71 gene responsible for a breed-specific form of hypotrichosis in Hereford cattle, potentially serving as a model for similar human conditions.

This review highlights that T cells are crucial in regulating hair follicle regeneration and their disruption can lead to alopecia, providing insights into hair disorders related to T cell immune balance and hair follicle regeneration.

This review discusses the repurposing of natural products for COVID-19 treatment but reports no new clinical findings, highlighting ongoing research to target host and viral mechanisms.

This study found that frequent attenders at Cork University Hospital's emergency department accounted for a disproportionate amount of visits and were more likely to require admission for further care.

This research observed that hairless guinea pig dermal fibroblasts were more sensitive to a toxic exposure than human dermal fibroblasts, suggesting that guinea pigs might serve as an intermediate model for translating in vitro findings to whole organisms.

This study found that in patients with androgenetic alopecia, microneedling therapy led to significantly higher treatment adherence compared to medication, with improved adherence linked to factors like age, education, income, reduced side effects, and enhanced treatment efficacy.