September 2018 in “Digital Access to Scholarship at Harvard (DASH) (Harvard University)” In this study, FN-based fiber scaffolds designed using Rotary Jet-Spinning were shown to enhance wound healing and reduce scar formation in a mouse model, suggesting potential for regenerating healthy skin structure.
In this study, researchers developed a photocurable polyurethane resin for 3D printing, creating high-resolution elastomeric microwell arrays that effectively promote uniform spheroid formation and growth of A549 cells, which could aid in disease modeling and organoid research.
November 2022 in “Journal of Nanobiotechnology” In this study, researchers used a new method with platelet-rich plasma-loaded microcarriers to enhance dermal papilla cell activity and hair follicle regeneration, achieving significant hair and vessel growth in a mouse model compared to control groups.
December 2024 in “International Journal of experimental research and review” In this study, the integration of obesity-related features and machine learning techniques significantly enhanced cardiovascular disease detection, with the XGBoost classifier achieving a 74% accuracy rate and improved metrics compared to other models.
June 2026 in “International Journal of Computational and Biological Sciences” This study developed and validated a radiomics-based clinical nomogram using routine renal ultrasound and clinical data to predict early diabetic kidney injury in a community cohort, finding it significantly outperformed clinical-only models in predicting risk and showed potential as a cost-effective screening tool.
23 citations
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March 2017 in “PTR. Phytotherapy research/Phytotherapy research” This study in mice found that butin, a component of Vernonia anthelmintica, increased melanin production and related proteins while reducing oxidative stress markers in a model of hydroquinone-induced vitiligo, suggesting support for its traditional use against this condition.
2 citations
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November 2024 This review discussed recent research on using machine learning to predict mental disorders, reporting that Adaboost could predict depression with 92.5% accuracy and 93.6% specificity, while other models like XGBoost and RNN were applied for post-stroke depression and EEG-based depression detection, respectively.
9 citations
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June 2023 in “Oxidative Medicine and Cellular Longevity” This study reports that keratinocytes grown under low oxygen conditions (physioxia) demonstrated reduced reactive oxygen species production and increased antioxidant enzyme activity compared to those in higher oxygen conditions, highlighting the role of oxygen in regulating skin antioxidant defenses.
November 2025 in “Advanced Science” In this study, researchers developed a polyphenol–amino acid nanozyme capable of controlled hydrogen peroxide delivery, which effectively activated hair follicles via oxidative stress in a mouse model, suggesting a potential non-pharmacological treatment for alopecia.
October 2023 in “European journal of dermatology/EJD. European journal of dermatology” In this study, I-PRF, a blood-derived biomaterial without anticoagulants, was found to inhibit melanin production and reduce oxidative stress damage in a rat model of melasma, suggesting it as a safe and cost-effective treatment option.
5 citations
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January 2016 in “Hair therapy & transplantation” In this study, miliacin combined with polar lipids significantly stimulated IGF1 production, increased the renewal of keratinocytes, and enhanced collagen thickness in a hair follicle model.
April 2020 in “Research Square (Research Square)” In this study, PBMCs from women with PCOS showed reduced TNF-α production over time, potentially limiting their antitumor response to breast cancer cell lines compared to healthy controls.
December 2024 in “Journal of Biophotonics” In this study, researchers observed that red and red-orange LED light therapy stimulates nitric oxide production and decreases dihydrotestosterone synthesis in cell models, suggesting a potential mechanism for using light therapy to treat androgenetic alopecia.
12 citations
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September 2024 in “Frontiers in Immunology” This study found that metabolism-related genes significantly impact the prognosis and metastasis in breast cancer, and the development of prediction models may guide personalized therapeutic strategies.
February 2026 in “Clinical Cosmetic and Investigational Dermatology” This study found that a family history of androgenetic alopecia and specific trichoscopic signs are strong predictors of female pattern hair loss, leading to a nomogram model for risk prediction.
February 2026 in “SHILAP Revista de lepidopterología” This study found that a family history of androgenetic alopecia and specific trichoscopic features are key factors in predicting female pattern hair loss, and the developed nomogram model may help improve disease management by assessing these risks.
This study found that applying an ethanol extract of Prasiola japonica improved hair regrowth, length, and follicular density in testosterone-induced hair loss conditions in mice, while also promoting dermal papilla cell proliferation and reducing dihydrotestosterone production, though effects were less pronounced than those of minoxidil.
In this study using C3H/HeJ mice, a single subcutaneous injection of the fusion protein PTH-CBD increased anagen hair follicle counts and promoted hair regrowth comparably to daily oral ruxolitinib, potentially by enhancing beta-catenin production and stimulating anagen transition.
This review summarizes methods for creating alopecia areata animal models and reports no new results, emphasizing that improved evaluation and combined disease models are needed for future research.
3 citations
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February 2023 in “Journal of Investigative Dermatology” Ch55 may help reduce skin scarring and fibrosis.
September 2026 in “Journal of Cosmetic Dermatology” This study developed a geometric framework for estimating safe donor harvesting in hair transplants, showing that individual hair characteristics like caliber and length significantly affect donor capacity.
1 citations
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December 2022 in “̒Ulūm-i dārūyī” This study found that in a rat model, minoxidil promoted better wound healing through potential anagen hair growth effects, while dexamethasone suppressed wound healing by reducing collagen production.
April 2018 in “Journal of Investigative Dermatology” This study demonstrated that in genetic mouse models, the calcium sensor Stim1, not Stim2, is essential for sweat secretion in sweat glands.
61 citations
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May 2014 in “International journal of pharmaceutics” This research describes a process for producing caffeine nanocrystals, which may enhance skin penetration by accumulating in hair follicles and maintaining stability for two months, paving the way for in vivo testing.
April 2019 in “Molecular Informatics” This study employed multiple linear regressions to analyze hydantoin analogues and produced a model with strong predictive abilities for designing new androgen receptor modulators.
53 citations
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September 2007 in “Annals of the New York Academy of Sciences” The researchers reported that thymosin beta 4 promotes hair growth in various rat and mice models by influencing follicle stem cell growth, migration, and differentiation.
4 citations
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October 2022 in “Journal of Biomedical Materials Research Part A” This study found that magnesium oxide-incorporated electrospun membranes improved wound healing in a simulated model by accelerating wound closure, reducing inflammation, promoting fibroblast proliferation, and stimulating angiogenesis and skin regeneration.
3 citations
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January 2013 in “Egyptian Liver Journal” In this study, researchers found a significant prevalence of nonalcoholic fatty liver disease in Egyptian women with polycystic ovary syndrome, with insulin resistance being a key predictive factor.
2 citations
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November 2018 in “Indian Journal of Pharmaceutical Education” This study designed a novel model for 5a-reductase enzyme inhibitors using pharmacophore and 3D QSAR techniques, potentially allowing for improved prediction and development of drug therapies targeting benign prostatic hyperplasia.
May 2026 in “International Journal of Scientific Research in Science and Technology” 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.