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Prescription and alternative therapies for hair loss will be compared for effectiveness.

This study identified potential ceRNA regulatory networks in cashmere goat hair follicle cycling, expanding understanding of lncRNA and miRNA biology and annotation of the goat genome.

This study found that CD2 could be a potential new therapeutic target for treating patchy-type alopecia areata, suggesting the need for further research into its role.

This study identified four circRNAs with significantly different expression levels in Liaoning cashmere goats, suggesting a potential role in regulating cashmere fineness.

In this study, researchers evaluated deep learning methods for diagnosing Alopecia Areata and found that a modified Inception-Resnet-v2 model achieved a high validation accuracy of 97.94% and loss of 10.4%, suggesting it as an effective tool for classifying alopecia-affected hair.

This study found that Rex rabbits had significantly shorter fibre length and thinner fur compared to New Zealand White rabbits, and identified a gene-metabolite network that may influence fur quality and development.

This study utilized U-Net's image-processing capabilities to achieve 92% accuracy in segmenting individual hair strands, enhancing early detection and reliable identification of hair fall areas, which assists in addressing challenges of subtle hair thinning that are difficult to see otherwise.

In this study, researchers demonstrated that the Id2 gene acts as a direct target and effector of BMP signaling, playing a key role in maintaining quiescence in hair follicle stem cells in vivo.

This study analyzed gene expression data to identify key genes involved in severe forms of alopecia areata, discovering four immune monitoring genes (LGR5, SHISA2, HOXC13, S100A3) with potential for early diagnosis and better understanding of the disease's biological mechanisms.

This study found that in the treatment of androgenetic alopecia, combination therapies involving topical and systemic treatments with adjunctive therapy demonstrated the highest efficacy in improving hair density and diameter compared to placebo, based on a network meta-analysis of 49 randomized controlled trials.

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 suggests that a group of 16 imprinted gene network genes may serve as upstream regulators in the hair cycle, potentially influencing hair-loss disorders.

This study developed a deep learning framework and quantitative model that accurately predict basic and specific classification in male androgenetic alopecia by analyzing trichoscopic images.

This study found that finasteride was associated with more reproductive adverse effects, including sexual dysfunction in men and fetal harm in women, compared to minoxidil in reported alopecia cases.

In this study, researchers developed a three-dimensional ultrastructural analysis tool using serial block-face scanning electron microscopy to reveal detailed nerve networks and muscle structures in human skin tissues, demonstrating the technique's potential to study structural changes in aging or disease.

This study identifies gene-regulatory networks related to genetic variants in skin and hair diseases, suggesting that dermal papilla cells are crucial in androgenetic alopecia.

This study examined the genetic basis of alopecia areata by analyzing gene expression differences between patients and healthy controls, identifying critical pathways, hub genes, transcription factors, and miRNAs implicated in the disease, and suggesting potential targets for treatment.

In this study, mesenchymal stem cell therapy improved erectile function in a rat model of diabetes-associated erectile dysfunction, and identified 15 hub genes potentially involved in the condition's development.

Allergies, especially both seasonal and food, increase the risk of developing alopecia areata.

This study reviewed various studies and concluded that Janus kinase inhibitors, particularly tofacitinib, seem to promote hair regrowth in about half of patients with alopecia areata, though expected class-specific adverse effects were observed.

This review discusses the integration of omics analyses in androgenetic alopecia research, reporting no new clinical results but suggesting that collaborative multi-omics studies may enhance understanding of AGA's pathomechanisms.

This study developed a vascularized full-thickness skin equivalent with a complex vascular network, enhancing its predictiveness for topical and systemic drug applications in dermatology research.

Red dots on the upper chest may be an early sign of certain types of hair loss.

This study observed that specific dermoscopic features, such as altered pigmentary network and yeast invasion of hair follicles, along with certain histopathological features, assist in diagnosing pityriasis versicolor.

This study demonstrated that prevascularized human skin constructs containing engineered hair follicles can successfully induce human hair growth when grafted onto mice by promoting blood supply to the grafted skin.

This study identified 19 genes targeted by 29 potential drugs for topical treatment of chemotherapy-induced alopecia, suggesting avenues for drug repositioning in pharmaceutical research.

In this study, researchers demonstrated that the expression of the oncogene SmoM2 leads to basal cell carcinoma in the ear epidermis of mice but not in the back skin, with differences in susceptibility linked to the composition of the extracellular matrix.

The study investigated immune cell patterns around the hair follicle infundibulum in androgenetic alopecia, revealing significant differences in immune signatures between patients with AGA and control donors, specifically noting an enrichment of CD4 cells in the patient group.

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.

This study identified key genes and signaling pathways involved in cashmere goat hair follicle growth cycles, influenced by melatonin implantation, suggesting a basis for further research on melatonin's regulatory mechanism.