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This study found that dyed chitin nanofibers maintain color and mechanical properties when reinforcing resins, allowing color addition and strength improvement while retaining transparency.

In this study, the authors found that syntax-based neural networks performed comparably to pre-trained Transformers on tasks involving definitely unseen sentences, suggesting they are a more transparent and parameter-efficient alternative for certain Natural Language Processing applications.

At a workshop highlighted during the 2025 ESPCR meeting, researchers discussed the challenges and variability in culturing skin-related cells, identifying key factors such as media composition and species differences that affect experimental reproducibility, and emphasized the importance of transparent practices to advance pigment cell research.

This project developed an SMS-based e-voting application using Gammu and PHP, aiming to facilitate an accurate, quick, and transparent voting process for student elections.

This study critically reviewed recent evidence (2020–2025) on treatments like platelet-rich plasma, photobiomodulation, stem cells, and exosomes for androgenetic alopecia, finding emerging but limited efficacy data and emphasizing the need for standardized protocols to enhance transparency and patient safety.

Dental professionals should ensure safety in facial aesthetics by being properly trained and registered.

This article discusses the ethical obligations of professionals to uphold patient trust but reports no new clinical findings.

This research reported that a newly developed dually crosslinked gelatin-alginate-based hydrogel scaffold enhances mechanical strength, promotes corneal tissue regeneration, and reduces scarring in rabbit models, suggesting potential applications in corneal tissue engineering.

This study reports that discrepancies in adverse event reporting for clinical blood pressure trials undermine the reliability of safety data, suggesting a need for standardized reporting guidelines to improve trustworthiness.

This article describes a method using the CUBIC protocol to clarify and visualize molecular and cellular interactions in mouse skin biopsies at single cell resolution, but does not provide new biological findings.

This study demonstrates that a proposed multi-stage framework improves the accuracy and faithfulness of drug-related responses generated by language models, compared to traditional methods.

This review explores the advantages and limitations of using zebrafish models to study various skin diseases, but reports no new experimental results.

This study found that incorporating Canavalia ensiformis lectin into alginate and carboxymethylcellulose films enhanced angiogenic factor expression, suggesting these biopolymer films could be an effective alternative for wound treatment.

This review discusses the potential benefits of using natural permeation enhancers to improve transdermal drug penetration in formulations like emulgel, a promising topical delivery system for hydrophobic drugs.

This report describes three cases of feline exudative dermatitis in neutered European cats, associated with lymphangiosarcoma, confirmed by histopathological and ultrastructural findings.

This paper argues that trademark use theory is flawed and should be abandoned in favor of a contextual analysis approach to better address trademark disputes and lawmaking.

This article discusses using the ImageMeter mobile app to calculate scalp area for PRP treatment in androgenetic alopecia, reporting no new clinical results.

This study found that the prenatal skin development in Red Sokoto goats undergoes significant morphological changes across gestational stages, which may be important for their adaptation and thermoregulation after birth.

In this study, the researchers developed and evaluated eco-friendly poly-herbal soap strips using plant extracts from Lantana camara, Moringa Oleifera, and Corn silk, finding that the strips exhibited superior physicochemical properties and significant anti-fungal activity compared to conventional anti-fungal soaps.

This study found that combining optical clearing methods with light-sheet fluorescence microscopy allows detailed 3D visualization of normal and pathological human skin biopsies, revealing differences in epidermal thickness and volume.

This study observed distinct changes in the ultrastructure of Hexi cashmere goat hair follicles throughout the year, highlighting stages with specific cellular and structural characteristics.

This article argues that while evidence-based medicine has provided many benefits, it has also led to negative unintended consequences, and proposes a renewed focus on integrating context and professional expertise to improve patient treatment.

This study found that using an objective approach to develop search strategies for systematic reviews was noninferior to the conceptual approach commonly used in Cochrane Reviews, with a mean sensitivity of 96%.

This source reviews Japan's extensive 2014 reforms and investments in regenerative medicine, exploring the government's initiatives to accelerate stem cell research while maintaining safety and efficacy.

This study found that patients with alopecia areata face challenges like medical uncertainty and lack of information, highlighting the need for reliable and accessible treatment information that aligns with their preferences.

Isoflavones may help with menopause symptoms but could be risky for women with hormone-sensitive cancers.

This review discusses the use of mesotherapy, highlighting its popularity and the lack of large, randomized controlled trials, and advises cautious use.

This study suggests that artificial intelligence could significantly enhance histology education for medical and dental students, but its implementation faces challenges like cost, accuracy, and ethical considerations.

This study examines the use of emulgel-based systems as drug delivery vehicles for hydrophobic medications, noting their potential benefits in dermatological applications due to properties like easy spreadability, non-greasy texture, and prolonged shelf life.

In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.