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This review discusses forensic DNA phenotyping and its potential applications, particularly for human identification in Latin American populations, but notes challenges due to genetic diversity and reports no new results.

This study concluded that QSPR models effectively predict drug skin penetration, with the Potts-Guy model showing the highest predictive accuracy for the drugs tested.

This study found that a genetic model using SNPs can predict early-onset male-pattern baldness with moderate accuracy, which may assist in decisions about interventions.

The authors of this study developed a novel CNN architecture aimed at improving detection of Alopecia Areata through image-based datasets, achieving a top accuracy of 98% compared to four other machine learning models.

In this study, treatment of unwanted hair with 755 nm alexandrite laser in 14 patients showed a decrease in excess hair at the armpit and thigh areas, with a 75% accuracy rate in hair density estimation using Monte Carlo modeling.

This study found that rice bran ash extract enhanced melanin biosynthesis-related protein expression in a 3D hair follicle-like tissue model and hair follicle organ culture, suggesting potential for future research in melanogenesis.

This study used homology modeling to create a detailed in silico structure of 5α-reductase type II, suggesting it can aid in designing steroid reductase drugs.

This study identified pantolactam based compounds as effective topical antagonists of the androgen receptor, reducing sebum components in a hamster model.

This study suggests that hydroxypinacolone retinoate (HPR) may be an effective alternative to tretinoin for anti-aging skin treatments, offering similar collagen production benefits without increased skin irritation.

The study found that growing dermal papilla cells in 3D spheroids enhances their activity with hair growth-promoting agents, such as minoxidil and TCQA, compared to traditional 2D cultures.

This study found that krh/krh rats serve as a suitable model for non-inflammatory acne and that adapalene treatment decreased open comedones and altered lipid metabolism and cytokine production in these rats.

This study found that virgin coconut oil improved skin inflammation and symptoms of seborrheic dermatitis in rats, particularly at a dose of 10 mg/kg, by reversing alterations in antioxidant and inflammatory markers.

In this mouse study, researchers reported that sequential monopolar-bipolar radiofrequency irradiation significantly improved skin quality by increasing collagen density, elastin fiber expression, and fibroblast differentiation more than monopolar RF treatment alone.

This study found that Grateloupia angusta extract improved wound healing by promoting matrix production and pro-angiogenic activity in cell cultures and enhanced early wound repair in a mouse skin incision model.

This study found that Heated radish extract potently suppressed melanin production in vitro and reduced wrinkle formation and collagen degradation in vivo, suggesting its potential as a skin whitening and antiaging product.

This study suggests that a topical hydroalcoholic extract of liquorice root significantly reduced sebaceous gland size in Syrian hamsters, indicating potential for use in anti-acne therapy.

This study found that a genetic test using 5 to 20 SNPs can predict male pattern baldness with variable accuracy in European men, especially those aged 50 and older.

In this study, single-cell sequencing revealed clonal expansions of CD4+ and CD8+ T cells in murine and human alopecia areata, supporting the development of predictive models for human disease.

In this study, researchers investigated the penetration and cellular responses to nanoplastics in human skin models with compromised barriers, finding that nanoplastics can penetrate the skin, accumulate in cells, and trigger inflammatory responses through specific signaling pathways.

This study identified a high-risk allele in the PLCD1 gene associated with hereditary trichilemmal cyst formation, proposing a monoallelic two-hit mechanism as the underlying genetic pathogenesis.

This study demonstrated a novel use of tape stripping on a human skin model to simulate the inflammation and barrier damage caused by dry razor shaving, highlighting potential shaving and skin-care formulations that may mitigate such damage.

This review highlights the complexities of hair graying and the limitations of current models to fully replicate hair follicle pigmentary unit function, suggesting that technologies like organoids and bioprinting show promise but require further development for effective hair repigmentation interventions.

Results are not reported for this study, which used a directed acyclic graph to analyze the association between chest hair amount and prostate cancer, adjusting for age and ancestry.

In this study, machine learning models showed high accuracy in predicting therapeutic outcomes for female pattern hair loss, highlighting the significant impact of age of onset and condition duration on treatment response.

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.

This article discusses the role of androgens in metabolic and reproductive health and reports no new experimental results; the focus is on androgen receptor activation by testosterone and 5α-dihydrotestosterone.

This study found that ensemble machine learning models effectively predict hair fall by combining the strengths of individual algorithms, leading to higher accuracy, precision, and recall in identifying hair and non-hair fall instances compared to single algorithms.

This study developed an in vitro 3D organoid model using dermal papilla spheroids and found that it enhances growth factor expression and extracellular matrix production, which could aid drug screening for hair regeneration.

This study developed new genetic prediction models for male pattern baldness with improved accuracy by utilizing a large set of markers and independent datasets, making them the most reliable available for this trait.

This paper proposes an integrated model suggesting that psychological stress, sleep disturbances, nutrition, lifestyle, and various biological factors collectively influence hair health, including hair loss and premature greying.