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This study observed that two patients treated with interferon α-2b and ribavirin for chronic hepatitis C experienced complete and reversible straightening of their natural curly hair, which recurred with treatment resumption.

This study reports a good correlation between the curvature of human eyelashes and the displacement of the neutral axis, influenced by the non-uniform thickness of the outer cuticle layer.

This study found that melatonin treatment significantly increased wool production and hair follicle activity in German angora rabbits, with larger effects seen in defleeced animals and those treated in July.

In this study, researchers used single-cell RNA sequencing to map the hair follicle microenvironment in fine-wool sheep, identifying specific cell types and gene expressions that influence wool fiber diameter, with dermal papilla cells playing a significant role in hair follicle development.

This narrative review highlights that alopecia areata significantly impacts the psychological wellbeing of cancer patients, contributing to distress, anxiety, and depression, and underscores the importance of integrating dermatologic care with psycho-oncology to improve patient outcomes.

This study found that platelet-rich gel is a simple and effective non-surgical method for healing exposed skull injuries, resulting in complete healing with minimal scars and sparse hair growth in all patients.

The study found that experimental inflammation from nasal septum surgery in rats caused a shifts in autonomic nervous system balance, with sympathetic dominance and parasympathetic suppression, normalizing after one week.

This study revealed that dentists in a surveyed Russian region showed low awareness of the potential link between vitamin D3 deficiency and complications in dental implantation.

This study observed that elderly women exhibited a tendency for higher personal anxiety and increased brain DC-potential indicators, with distinct energy cost patterns in different brain regions compared to elderly men.

This study validated a Spanish version of the Hair Specific Skindex 29 scale for assessing quality of life in women with female androgenetic alopecia, showing similar psychometric properties to the original.

Wound healing is a complex process involving different cells and stages, leading to scar tissue formation and strength increase over time.

This review discusses various therapeutic strategies targeting platelet-derived growth factor signaling in diseases like cancer and atherosclerosis, and evaluates existing treatments without presenting new clinical data.

This review discusses current uses and advancements in mesenchymal stem cell-derived conditioned media as a potential regenerative therapy but does not present new clinical findings.

In this review, researchers examined the physiological benefits of Cheonggukjang, a salt-free fermented soybean paste, highlighting its various health-promoting components that may contribute to improved heart health, diabetes management, and cancer prevention, among other benefits.

Gene therapy shows promise for improving wound healing, but more research is needed for human use.

This article discusses the structures surrounding hair follicles and introduces aspects like follicle groups and the dermal sheath, but it reports no new research findings.

This review explores the novel roles of white adipose tissue in tissue homeostasis and regeneration, emphasizing its impact on epithelial, muscle, and immune tissues, and reports no new clinical results.

In this animal study, topical diazoxide treatment led to increased hair thickness and follicle growth in bald stumptailed macaques without causing notable systemic side effects.

This review discusses the role of the circadian clock in skin functions such as cell proliferation and UV protection and reports no new results; the authors note its potential in studying immune regulation and seasonal behaviors.

This study introduces MicrobeFDT, a tool that clusters chemically similar compounds and links them to gut microbial enzymes and toxicities, demonstrating its utility by uncovering previously unknown metabolism of the cancer drug altretamine.

This study demonstrates that using transwell culture significantly influences hair follicle formation in skin models, potentially improving dermatology and skin research methodologies.

This study proposed a model that accurately predicts skin condition using genotype information and machine learning, suggesting potential for creating customized cosmetics.

This study reported that a skin equivalent model using human outer root sheath cells and fibroblasts showed the formation of structures similar to human dermis and epidermis within two weeks after transplantation into mice.

This review highlights recent advancements in microfluidics for 3D tissue model generation and discusses its applications in tissue engineering and high-throughput drug screening without reporting new experimental results.

This study suggests that tailoring burn wound treatment to the timing of prevalent cell death types could improve therapy outcomes, as autophagy and apoptosis show distinct temporal patterns post-burn in a rat model.

This study presents the first detailed 3D models of the complete K1/K10 keratin dimer and identifies structural features and interactions that may inform understanding of keratin filament assembly.

This study reviews various skin models and methodologies used to assess the follicular penetration of nanoparticle-based drugs, highlighting inconsistencies that complicate comparisons and aims to establish more uniform protocols for clearer study outcomes.

This study proposes a new mathematical model, the Harmonic Mean equation, for precisely quantifying nuclear pleomorphism in breast cancer grading, showing high performance with accuracy, recall, specificity, precision, and F1-score metrics.

In a mouse model of chemotherapy-induced alopecia, this study found that enhancing ETV2 expression improved angiogenesis and hair regrowth following 5-fluorouracil treatment.

In this study, researchers developed a deep learning model that efficiently classifies five degrees of harm with high accuracy, achieving up to 98% precision, recall, and F1-score across various harm levels, indicating strong potential for practical application in automated harm evaluation.