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This study suggests that adult hair follicle stem cells can survive and potentially differentiate into neuronal cells after being transplanted in a mouse model of traumatic brain injury, indicating promise for TBI therapy.

This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.

This study demonstrates that an AI-based grading framework using a novel area ratio metric improves the accuracy and consistency of male pattern hair loss classification, especially in advanced grades, compared to traditional methods.

This article reviews the cellular dynamics affecting dermal papilla size in androgenetic alopecia and suggests targeting DP size could improve therapies, but it presents no new clinical data.

This review provides guidance on using two-photon microscopy for real-time and long-term visualization of stem cell activity in live mice skin, focusing on its application in researching skin and stem cell biology.

This review discusses the integration of ultrasound in dermatology for improved lesion visualization and diagnosis, highlighting recent technological advancements like handheld devices and high-frequency probes, and reports no clinical results.

In this review, researchers explored the design of composite biomaterials for immunomodulation and their potential to influence immune cell behavior, which could be leveraged for treating diseases like cancer and improving tissue regeneration, while also addressing translational challenges such as biocompatibility and safety.

This study used machine learning models to analyze PCOS symptoms for early diagnosis, finding Support Vector Machine and VGG16 algorithms achieved high accuracy rates of 94.44% and 98.29% respectively.

In this study using a rat full-thickness burn model, the amnion bilayer dressing showed better healing and skin recovery than the standard protocol, including quicker complete healing and restored skin appendages.

This review discusses the role of scalp imaging techniques in trichology for researching drug delivery and toxicology, without presenting new clinical results.

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 narrative review found that while AI-based tools in dermatology, particularly for hair disorder assessment, have potential to enhance clinical practice by improving objectivity and personalization, they currently serve mainly a complementary role and face challenges like methodological limitations and data bias.

This study describes the PandaOmics platform, which uses AI and bioinformatics to identify new therapeutic targets and biomarkers for various diseases, demonstrating validation in laboratory and animal studies.

This study found that acne inversa is primarily an epithelial-driven disease, with cyst-forming tendrils causing inflammation due to rupture and the release of debris, highlighting limitations of punch biopsies for analysis.

This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.

This study found significant correlations between old and new ultrasound devices for measuring NF and ovarian volume, being the first on the African continent to reassess ultrasound criteria for PCOS.

This review highlights that microRNAs (miRNAs) play crucial roles in hair follicle development and cycling in cashmere goats, detailing recent advances in understanding their regulatory functions and potential applications in improving cashmere fiber quality and diagnosing hair disorders.

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 review highlights recent advances in personalized transdermal drug delivery systems, noting their potential for improved treatment efficacy and safety, but identifies significant challenges in clinical translation.

In this randomized, double-blind, placebo-controlled trial, researchers found that a multi-targeted cosmetic formulation containing TrinogeniX™ significantly increased hair density and thickness in individuals with androgenetic alopecia without adverse effects, suggesting it as a potential safe and effective treatment option.

In this study, artificial intelligence's integration into Indian aesthetic medicine has expanded from consumer apps to crucial roles in diagnostics, treatment planning, and clinic management, driven by demands for precise data over subjective opinions and enhancing competitive advantage.

This review highlights new perspectives in genomics and epigenomics for skin rejuvenation, comparing innovative strategies like senolytics and DNA repair modulators with classical treatments, and emphasizing the importance of tailoring therapies using individual genomic profiles for personalized anti-ageing approaches.

This study explored deep learning's potential in diagnosing scalp conditions like alopecia, psoriasis, and folliculitis, using a two-dimensional Convolutional Neural Network, achieving high accuracy and precision despite challenges of a small and uneven dataset.

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.

This review explores the skin benefits of exercise and discusses how artificial intelligence can tailor exercise programs to individual skin health needs, emphasizing the potential of AI-driven strategies in cosmetic dermatology for more personalized and adaptive skincare approaches.

In this research, experienced clinicians noted inconsistency in the reproducibility of the commonly used Hamilton-Ludwig scales for assessing pattern hair loss severity in photographic assessments, leading to the proposal of a new 5-point scale for staging female hair loss.

This review discusses the advantages of robotic hair transplantation using the ARTAS iX robot compared to manual Follicular Unit Extraction, emphasizing enhanced precision, speed, and hair preservation capabilities, and reports no clinical results.

This review discusses recent advances in noninvasive hair imaging technologies, such as global photography, trichoscopy, reflectance confocal microscopy, and optical coherence tomography, highlighting their potential to improve hair diagnostics and treatment monitoring, while also outlining their clinical applications and limitations.

This review discusses recent advancements in mobile technology and artificial intelligence for dermatology, offering an overview of their current applications but reports no new clinical findings.

This study found that Oncostatin M, via JAK-STAT5 signaling, keeps hair follicle stem cells inactive, and its removal leads to hair growth initiation in mice.