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This study reports that deep learning models, particularly CNN and FCN, achieved high accuracy in diagnosing scalp and skin disorders, suggesting potential for improved diagnostic systems with further advancements.

This case report highlights the risk of retinal injuries from laser epilation, emphasizing the importance of practitioner training and protective eyewear to prevent irreversible vision damage.

This study reported that a single treatment using macrofocused ultrasound energy with a 2 mm transducer significantly reduced pore count, pore volume, and pore index in 34 Thai subjects with enlarged facial pores over a 6-month period, with no adverse events observed.

In this study, a machine learning framework incorporating the CatBoost algorithm accurately predicted Systemic Lupus Erythematosus in Omani patients, suggesting potential for early clinical intervention.

In this study, the authors found that applying hypobaric pressure to the skin significantly increases the transdermal permeation of large molecules by enhancing diffusion, despite the associated skin stretching and hair follicle enlargement not fully explaining this effect.

In this case report, the authors suggest that methotrexate-induced rheumatoid papular eruption is a rare side effect of methotrexate, resolved after discontinuation, which may be linked to rheumatic conditions.

This study reported that NLRP3 plays complex roles in wound healing by initially promoting inflammation and delaying repair, but later enhancing structural restoration through distinct signaling pathways, highlighting its potential as a therapeutic target for controlling inflammation and regeneration phases.

This study found that aligned electrospinning membranes enhance skin wound healing by upregulating MMP12 expression and inhibiting fibroblast migration, which results in reduced scar formation, providing valuable insights for developing more effective biological dressings.

The researchers reported that sulfated chitosan-containing sponges can modulate macrophage activity in diabetic wounds, reducing inflammation and promoting angiogenesis and tissue regeneration, which may enhance wound healing outcomes.

This research proposes a comprehensive "four-dimensional technology toolbox" for reprogramming wound-repair cells, aiming to treat chronic non-healing wounds like diabetic foot ulcers by altering fibroblasts, keratinocytes, and macrophages to regenerative phenotypes, and addressing clinical translation challenges.

This study found that social hair plucking in captive rhesus macaques was associated with alopecia and exhibited patterns similar to both prosocial and aggressive behaviors.

This study used multi-omics analysis to explore how wheat roots adapt to temperature stress, revealing that distinct hormonal signaling pathways are linked to iron homeostasis and drive root morphological changes, supporting the idea of an 'iron-dependent hormonal trade-off' model.

In this study, dogs with atopic dermatitis showed significant improvements in macroscopic skin lesions, such as reduced pruritus and hair regrowth, after receiving coconut oil massages every three days for 33 days.

This study examined the cardiovascular safety of oral minoxidil, used off-label for androgenetic alopecia, particularly as its usage expands in real-world settings, although specific results were not detailed in the abstract.

Cedrol promotes hair growth better than baricitinib by regulating immune cells.

This study suggests that DcR3 can reprogram macrophages towards a reparative state, enhancing wound healing and hair follicle regeneration, making it a potential target for treating chronic wounds and alopecia.

This case report presents a rare instance of recurrent ACTH-independent Cushing’s syndrome due to PBMAH, coinciding with the development of a pheochromocytoma, highlighting the need for thorough reevaluation in similar recurring cases.

This review highlights that disturbances in neuroimmune communication, particularly between sympathetic nerves and macrophages, may contribute to autoimmune diseases like rheumatoid arthritis and type 1 diabetes, and suggests potential therapeutic avenues by restoring this communication in preclinical and early clinical studies.

This review highlights single-cell sequencing's role in understanding macrophages' diverse functions and subtypes in skin wound healing, emphasizing macrophages' importance in tissue restoration and identifying key genes involved in the process.

In this study, researchers observed elevated levels of epidermal γδ T cells, keratinocytes, and an upregulation of the BST2 gene among immune cells in C3H/HeJ mice with alopecia areata, suggesting a potential role in disease pathogenesis.

This study found that machine learning techniques, such as Random Forest, SVMs, and KNN, can significantly improve the early detection and determination of hair loss, potentially transforming treatment with more accurate and personalized approaches compared to traditional methods.

This study suggests that macrophages, particularly CD206⁺ macrophages, play a crucial role in squaric acid dibutylester-induced hair growth in alopecia areata treatment.

A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.

This preclinical study found that a machine-learning-driven strategy for fabricating microneedles with optimal hardness and rapid dissolution significantly promoted hair regrowth in androgenetic alopecia mice by activating the Wnt/β-catenin pathway, surpassing the effects of minoxidil.

This study found that a machine-learning-driven strategy helped develop microneedles with high hardness and rapid dissolution, effectively promoting hair regrowth in androgenetic alopecia mice by activating the Wnt/β-catenin pathway, surpassing minoxidil's effects without biosafety risks.

This study demonstrates that machine learning-assisted fabrication of PRP-incorporated microneedles effectively promotes hair regrowth in AGA mice, outperforming minoxidil and mitigating biosafety risks associated with synthetic materials.

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 study found that Annexin A5 significantly reduced fibrosis and inflammation in both preventive and therapeutic contexts in a bleomycin-induced localized scleroderma mouse model, demonstrating its potential anti-fibrotic and anti-inflammatory effects for treating fibrotic diseases.

This study found that in alopecia areata, epidermal γδ T cells and macrophages contribute to the disease alongside CD8 T cells, with the expression of BST2 marking interferon-driven immune activation in both mouse and human skin, which decreases following treatment with the JAK inhibitor tofacitinib.

This study discovered that androgenetic alopecia disrupts the scalp microbiome balance across the whole scalp, not just areas with hair loss, and introduced a microbial index for early detection and severity prediction.