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This study suggests that the developed PBPK model effectively predicts pharmacokinetic and pharmacodynamic profiles of topical finasteride and minoxidil on the scalp, indicating potential broader applicability for other formulations.

In this scoping review, researchers observed that while AI-assisted trichoscopy holds promise for standardized assessments of hair and scalp disorders, its clinical translation is limited by small proprietary datasets, inconsistent validation protocols, and a scarcity of real-world clinical studies.

This study used multi-scale hybrid models to explore how signaling factors affect skin wound healing and embryo development, suggesting that different levels of fibrin clot density influence scar formation.

This narrative review reports that scalp micropigmentation offers immediate cosmetic improvements in hair density appearance, but does not promote actual hair regrowth and results vary based on the operator's skill.

This study proposes a deep learning model using CNN with VGG16, VGG19, and MobileNetV2 architectures, achieving high accuracy in classifying scalp diseases from images, potentially facilitating diagnosis and treatment via mobile devices.

This study found that scalp necrosis in hair restoration procedures primarily occurs in the central region, particularly on the right parietal aspect, and proposed a method to prevent this complication.

This study found that hair follicles across mouse skin form a heterogeneous regenerative field, with distinct cycling dynamics influenced by the balance of activator and inhibitor signals, which could inform other organ regeneration research.

This study found that hair follicles in mouse skin use common activator/inhibitor signals to maintain cyclical hair growth across different regions, with varying dynamics influenced by distinct anatomical domains.

This study's model suggests that low androgen levels can increase selection for prostate cancer phenotypes resistant to hormonal therapy, potentially leading to more aggressive forms of cancer.

This study's simulations suggest that biomechanical factors, like follicle geometry and tissue stiffness, are likely significant in hair fiber protrusion, providing a framework for future experimental validation.

This study found that patients with androgenetic alopecia had increased scalp microbial diversity and reduced Staphylococcus abundance, particularly in the frontal and vertex regions, suggesting this dysbiosis as a sensitive indicator of AGA.

This study found that fibronectin nanofiber dressings, made using rotary jet spinning, accelerated wound healing and improved tissue restoration in a full-thickness wound mouse model.

Results are not reported in this letter to the editor on the use of scalp threading with polydioxanone monofilament threads for hair restoration.

In this study, human scalp hair grafted onto nude mice accurately reflected methyl mercury exposure, demonstrating its potential as a research model for monitoring mercury incorporation into human hair.

Androgen receptors found in monkey scalps, similar to humans, affect hair growth.

This study observes that TYK2 inhibition with BMS-986202 may extend hair follicle growth phases and decrease inflammatory cell markers in alopecia areata, suggesting potential for clinical application.

This study found no significant difference in hair cortisol concentrations between sows confined in farrowing crates and those in loose-housing systems, suggesting confinement may not affect chronic stress levels.

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.

This study used a 3D simulation to show that human hair provides varying levels of UV protection depending on head orientation and hair alignment, highlighting hair's role in scalp UV protection, especially for those with alopecia.

This study found that a combined machine learning model outperformed individual networks in diagnosing scalp conditions using visual data, enhancing prediction accuracy and early detection, particularly in settings with limited resources.

This review updates on various methods for hair and scalp examination, encompassing non-invasive, semi-invasive, and invasive techniques, and reports no new results.

This study developed a humanized scalp model in mice which demonstrated that transplanted cultured human hair follicle dermal cells contributed to the restoration of damaged hair follicles.

This review reports that while deep learning shows promise in diagnosing scalp disorders from images, challenges remain with data quality and model interpretability, suggesting that integrating explainable AI techniques is crucial for building trust and facilitating clinical adoption.

In this study, researchers developed a new humanized mouse model for alopecia areata that highlights the role of specific immune cells and may aid in discovering new treatments for the disease.

This study observed that human anagen hair follicles can grow in vitro when maintained serum-free, with possible implications for understanding hair follicle growth mechanisms.

This study introduces the PRECISE scale, a quantitative tool to classify androgenetic alopecia, aiming to improve planning and outcomes for hair transplantation surgeries by evaluating the whole hairless and thinning areas.

This review discusses novel treatments for androgenetic alopecia, including therapies like platelet-rich plasma and adipose-derived stem cells, and reports no new clinical results.

In this study, distinct molecular mechanisms of action were identified for three drugs used in alopecia areata clinical trials, providing insights for precision medicine and treatment selection.

This article discusses various treatments for primary cicatricial alopecia with a focus on early intervention to manage symptoms and improve hair density, but it reports no new clinical results.

This review evaluates dihydrotestosterone's role in androgenic alopecia and proposes a model suggesting that chronic scalp tension and inflammation contribute to hair follicle miniaturization, identifying fibrosis, calcification, and tension as treatment targets.