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In this study, elevated serum levels of aldosterone and free testosterone, along with increased androgen and aldosterone receptor levels, were associated with early-onset androgenetic alopecia in female patients.

This study describes the prescribing habits of Spanish dermatologists, highlighting that topical minoxidil and oral finasteride are the most common treatments for male AGA and postmenopausal female AGA.

This review of existing literature reports that photobiomodulation shows high effectiveness and safety in treating dermatological conditions like acne, psoriasis, and alopecia, though standardized clinical trials are needed to further validate its therapeutic benefits.

This review found that while many medicinal plants show potential antiviral and other therapeutic effects against COVID-19 based on prior studies, more rigorous clinical trials are needed to confirm their efficacy and safety.

This study presents a new hair removal algorithm for dermatoscopic images of skin lesions that improves hair detection accuracy by 2–7% and hair repair accuracy by 2–5% on average, using advanced techniques like maximum variance fuzzy clustering, Criminisi priorities, and the ant colony algorithm.

This study synthesized silver nanoparticles using an Artocarpus heterophyllus leaf extract and found that these nanoparticles, with a size of 100–110 nm, displayed effective antioxidant, antibacterial, and antifungal activities in vitro.

This study presents a new approach to automatically remove hair artifacts from dermoscopic images, which reportedly performed well compared to existing methods like DullRazor using the PH2 datasets.

This study developed and tested a new algorithm for analyzing coat and skin coloration in laboratory animals, using digital images and hierarchical color clustering, which effectively quantified color proportions and tracked changes over time without specialized software.

In this study, improved hidden Markov algorithms based on Bayesian methods enhanced the resolution and segmentation accuracy of low-dose CT images significantly more than naive Bayesian methods.

In this study, the researchers reported that their novel algorithm for hair restoration in dermoscopy images achieved high accuracy and texture preservation, outperforming other techniques in diagnostic accuracy and texture quality measures.

In this study, women with severe hair loss after bariatric surgery had lower zinc intake compared to those with mild hair loss, suggesting a possible link between zinc consumption and hair loss severity.

This study reported that silver nanoparticles synthesized from jackfruit leaf extract demonstrated broad-spectrum antimicrobial properties, with a formulated gel showing greater efficacy against E. coli compared to a commercial silver nitrate product.

This study found that the multi-thresholding method was the most effective for segmenting hair during laser removal, as it clearly distinguished hair patterns with minimal noise.

In this quasi-experimental study, researchers explored the optimal formulation of a nanoemulsion containing candlenut ethanol extract, finding that specific combinations of tween 80, span 80, and sonication time affected its physical properties and stability, although further activity testing is needed.

Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.

This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.

In this study, the researchers developed a quantum algorithm, QuantAnts machines, which identified complexes of CD9, CD34, and CD74 as potential targets for certain cancers involving the RAS pathway.

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%.

This study found that the optimized nanostructured lipid carrier formulation effectively enabled caffeine to penetrate and accumulate in hair follicles, suggesting potential for intrafollicular delivery in treatments for hair loss.

This study introduces AlopeciaDet, a novel feature fusion technique, using camera images to detect Alopecia Areata with 99.45% accuracy, outperforming existing methods by leveraging CRSHOG and ResNet-50 features.

Minoxidil promotes hair growth without causing DNA damage.

In this study, a hair cleansing tonic using Aloe vera and red onion was developed and found effective for promoting hair growth according to sensory tests by 30 panelists in Puerto Wilches, Santander, meeting microbiological safety standards.

In this study, topical naringin was found to significantly improve dermatitis severity and reduce inflammatory markers in a mouse model of atopic dermatitis, suggesting its potential as a therapeutic agent for this condition.

This study found that the normalized androgen ratio (NAR) could help evaluate androgen activity in women with acne vulgaris, hirsutism, and androgenetic alopecia, showing elevated NAR in some patients.

This study identified specific morphological characteristics and kinship relationships among 27 candlenut genotypes in Karo Regency, North Sumatra, highlighting variations in stem, leaf, flower, fruit, and kernel traits, with the closest relationship between MTB1 and MTB2 genotypes.

This study found that treating mice with naringenin, alone or combined with minoxidil, significantly increased hair growth and follicle diameter and quantity, likely due to its antioxidant and anti-inflammatory properties.

This study found that naringin, a natural flavonoid, significantly improved hair growth in mice by activating the Wnt/β-catenin pathway, with the 4% concentration showing comparable efficacy to 5% minoxidil, suggesting naringin as a promising alternative for alopecia treatment.

In this study, a novel geometric medicine approach, utilizing the N-K Universal Computer, was reported to eliminate aflatoxin contamination and significantly reduce cancer rates across the "Aflatoxin Belt" through precision targeting of harmful fungi while preserving ecological balance, without observed toxicity or resistance.

This study introduces a novel image enhancement method that significantly improves the visual quality of low-light sports images by utilizing improved bilateral filtering and the CLAHE algorithm, achieving a 65.24% improvement in color and edge detail preservation compared to state-of-the-art methods on the LOL dataset.