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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 article outlines how patient safety is integrated into the healthcare system, focusing on quality improvement and processes such as error reporting and root cause analysis, specifically for dermatologists.

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 study proposes a new method for hair segmentation that improved performance in skin lesion images, as indicated by an increase in the Dice score from 76.97% to 79.08%.

In this study, researchers developed an environmentally friendly hair coating from casein proteins and tannic acid, enhancing the tensile strength of virgin Asian hair by approximately 21% compared to untreated hair, while maintaining elasticity.

This study successfully established a transgenic sheep fibroblast cell line expressing the spider dragline silk protein gene, laying groundwork for developing transgenic sheep with this capability in hair follicles.

In this study, researchers successfully established a stable transgenic sheep fibroblast cell line containing an artificially synthesized spider dragline silk protein gene.

This review discusses the potential of using human hair proteomics for non-invasive diagnostic and forensic applications but reports no new results; the authors highlight areas needing further research.

This study suggests that stress intensity is highly correlated with hairfall severity, highlighting the potential of an inexpensive and accessible machine learning approach for forecasting and prevention.

This review discusses the classification and diagnosis of primary scalp alopecia, focusing on scarring and non-scarring types, and reports no new clinical results; it emphasizes simplified diagnostic pathways and tissue processing techniques.

This study reports that an Explainable AI-based hair health prediction system using a novel hybrid model outperformed traditional machine learning methods, achieving high accuracy in predicting key factors and providing personalized recommendations.

Hair diameter diversity could improve androgenetic alopecia assessment and treatment planning.

This review highlights the complex role of scientific knowledge and professional expertise in safely performing chemical hair procedures, emphasizing the importance of education to prevent potential adverse effects like hair damage and scalp irritation.

This review presents the practice of using hair bioelement analysis to assess nutritional status or environmental exposure, proposing complex interactions and hypotheses regarding depression and autism but reports no new clinical results.

This study suggests that women with polycystic ovary syndrome may have a distinct metabolomic profile, differing in levels of amino acids, organic acids, and lipids compared to controls.

This study observed that certain herbal extracts may promote hair growth and inhibit hair loss in cell lines by affecting specific protein expressions similarly to minoxidil.

In this narrative review, the authors highlighted that AI-supported electronic health record analysis could help recognize Polycystic Ovary Syndrome/Polyendocrine Metabolic Ovarian Syndrome earlier, but also warned that these systems might perpetuate historical biases if not properly validated and interpreted.

This study found that integrating machine learning enhances the predictive accuracy of forensic DNA phenotyping from low template DNA, achieving high accuracy for traits like eye color, although challenges remain for admixed populations and complex traits.

This chapter reviews signaling pathways related to androgenic alopecia in dermal papilla cells of balding human scalps, integrating published information and analysis of molecular interactions, without reporting new clinical results.

This abstract highlights the urgent need for rigorous research, quality assessment tools, and health economics analyses to integrate DTC telemedicine with traditional primary care for improved healthcare quality and efficiency.

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 discusses how drug molecules integrate into hair fibers, focusing on biological transport mechanisms and physicochemical factors, but reports no new experimental findings.

This study reported that the Computational Analysis of Novel Drug Opportunities platform effectively uses integrated biological data, including side effects and pathways, to generate potential drug candidates for colon cancer and migraine disorders.

In this analysis, the authors examine how hairdressing techniques like thinning and micro-graduation can correct women's hairlines by softening optical contours and enhancing visual symmetry, emphasizing the relevance of individual factors such as morphology and stylistic expectations in selecting these non-medical approaches.

This study conducted an integrative review of bioactive substances and their effectiveness in controlling hair loss and scalp disorders, evaluating their potential to restore hair cycle balance and strengthen hair strands, while identifying knowledge gaps and opportunities for future research.

This integrative literature review reported that various topical and professional treatments for androgenetic alopecia generally provided satisfactory results for patients seeking to address hair loss.

This study found that carbon and nitrogen isotope analysis of cattle hair reflects dietary and farm system differences, offering insights into cattle nutritional ecology and agroecosystem characteristics.

This source reviewed contemporary methods of local anesthesia for hair transplantation, highlighting current innovations and identifying key areas for improvement and the integration of various techniques within practical trichology and plastic surgery.

This study found that integrating graphene oxide into a biodegradable composite made from discarded hair keratin enhanced its structural properties, biodegradability, and gas barrier performance, indicating potential use as an eco-friendly packaging material.

This study conducted a comprehensive analysis of methods for assessing surface roughness, highlighting that contact methods using profilometers provide accurate results for machine parts, while non-contact optical and laser methods offer high precision and efficiency without damaging surfaces.