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This analysis of England's National End of Life Care Intelligence Network reports that the initiative improved palliative care using national data, addressing disparities in care especially among the poorest patients and those from non-white ethnicities over 14 years.

In this study, ceruloplasmin and keratin 4 were identified as markers that differentiate between growing and resting phases in cashmere goat hair follicles, with keratin 4 being a potential marker for the onset of a new hair cycle.

In this study, researchers successfully scaled a plant-based shampoo formulation for dry and damaged hair from laboratory to industrial production, maintaining its physicochemical properties and microbiological safety throughout, highlighting the formulation's scalability and the importance of quality control in cosmetic manufacturing.

This analysis found that females have a higher lifetime risk of alopecia areata across various regions and time periods, with increased risk associated with higher socio-demographic index levels.

In this study, 20% whale oil applied to mice was observed to promote hair growth more effectively than a control or 3% minoxidil, showing increased hair follicles and thicker subcutaneous tissue.

This study identified eight genetic markers associated with androgenetic alopecia, suggesting that these SNPs could influence individualized therapeutic responses and highlight the need for personalized treatment strategies.

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.

In this study, researchers conducted a large genome-wide association meta-analysis and found 30 significant genetic loci linked to the risk of dermatophytosis, shedding light on the roles of keratin biology, skin barrier defects, immune dysfunction, and obesity in the disease.

This study found that the HairComb algorithm achieved high accuracy in quantifying percentage hair loss across various types of alopecia, suggesting its potential for standardized automated assessments.

This study introduces a novel computational model using fuzzy logic and multi-criteria decision-making techniques to create a triage system for androgenetic alopecia management, stratifying patients into seven severity levels and aiding in resource allocation and treatment planning.

In this study, transcriptome analysis suggested that lipid metabolism and apoptosis may be key factors influencing hair length differences between short-hair and long-hair rabbits.

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

This study found that both natural and environmental selection have significantly influenced the goat genome, revealing genetic loci tied to adaptation, fitness, and productive traits, more so than artificial selection, across various goat populations.

This review discusses techniques for analyzing the cell cycle, highlighting emerging tools for measuring cell cycle speed at single-cell resolution in live animals, and reports no new results.

This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.

This study found that livedoid and acro-ischemic skin manifestations were significantly associated with severe COVID-19, while chilblains-like eruptions appeared in less severe cases.

In this study, a Monte Carlo-generated synthetic cohort analysis found that higher simulated cannabis exposure was linked to increased self-assessed hair loss severity and reduced follicular density, suggesting potential connections worth exploring in further clinical research.

This study highlighted the effectiveness of HT-scCAT-seq as a tool for understanding gene regulation in single cells, offering insights into embryonic skin development and proposing a framework for exploring regulatory mechanisms in various biological and disease contexts.

This study found that Follicular Maps, derived from trichoscopic images, remained consistent over time and unaffected by hair cycling or noncicatricial alopecia, offering a precise tool for diagnosing and monitoring hair and scalp conditions.

This study integrated single-cell RNA-seq data from four previous studies to create a comprehensive human corneal cell state meta-atlas, revealing novel marker genes, rare cell states, and distinct transcription factors, and offering a tool to enhance future cornea research.

In this study, researchers developed a novel computational framework using deep reinforcement learning to identify strategies for cellular reprogramming in gene regulatory networks, showing its effectiveness in a model of immune response against infection.

This study developed a novel system that can automatically estimate hair loss parameters from images without expert input, reporting satisfactory results from testing on samples collected in Kolkata.

This study found that while rosacea management is the most frequently discussed topic on social media forums related to disease, emotional expression is also a significantly prevalent activity among users.

This study investigated improving Finasteride's water solubility using trimethyl-β-cyclodextrin (TM-β-CD) and β-cyclodextrin (β-CD) as carriers, finding that β-CD improved Fin's cumulative release, while TM-β-CD enhanced its solubility, with computational data supporting these outcomes.

This study introduces a five-modal microscopy technique that allows label-free, in vivo observation and quantitative analysis of various wound healing processes.

This review suggests that integrating artificial intelligence in diabetic foot management could significantly improve early diagnosis and wound healing by facilitating thermographic analysis and developing "smart dressings," though challenges in training, legal, and ethical aspects remain.

This review outlines drug repurposing as an efficient, low-cost strategy to identify new uses for existing drugs, highlighting various computational and experimental approaches as well as publicly available databases to aid in personalized pharmacotherapy.

This study found that compounds from *Tectona grandis* leaves showed moderate inhibition of steroid 5α-reductase, a factor in androgenetic alopecia, and exhibited anti-inflammatory properties by inhibiting nitric oxide and pro-inflammatory cytokines IL-1β and IL-6 in vitro, suggesting potential dual-action benefits for AGA management.

This study found that certain pyrazole derivatives may serve as effective 5α-reductase inhibitors with potential use in the treatment of androgenetic alopecia, based on molecular docking analyses.

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.