April 2023 in “Journal of Investigative Dermatology” This study suggests that histological features of primary melanoma can partially predict lymph node metastasis using AI, achieving a best prediction AUROC of 0.65.
July 2026 in “International Journal of Advanced Research in Science Communication and Technology” In this study, the BaldGraphFormer framework, integrating visual and clinical data, outperformed unimodal baselines in early-stage androgenetic alopecia detection, achieving an F1-score of 97.62% and macro-average AUC of 0.992, suggesting its potential to support dermatological decision-making and early intervention.
February 2024 in “Frontiers in physics” This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.
2 citations
,
March 2017 in “Veterinary dermatology” This study demonstrated that herbal therapy with oil extract increased triglyceride content in dog hair, suggesting potential benefits on coat quality that require further investigation.
40 citations
,
October 2012 in “British Journal of Dermatology” This review assessed available treatments for female pattern hair loss and found that minoxidil improved hair regrowth compared to placebo, though high-quality evidence was limited for other interventions.
6 citations
,
August 2023 in “Fertility and Sterility” This review details the 2023 International Guideline update for assessing and managing polycystic ovary syndrome, which provides evidence-based recommendations to improve care and patient outcomes but notes the remaining low to moderate quality of evidence.
112 citations
,
November 2023 in “Nano-Micro Letters” This review discusses the developments over the past five years in nanozyme-based theranostics for tumor therapy, including their classification, design, and synergistic strategies. It also outlines the challenges and prospects of using nanozymes to enhance selectivity, biosafety, repeatability, and stability in therapeutic applications.
July 2026 in “Pharmaceuticals” This review highlights significant research trends and challenges in utilizing plant-derived extracellular vesicles for drug delivery and biomedical applications, emphasizing the need for standardized protocols and advanced purification technologies.
7 citations
,
August 2023 in “EClinicalMedicine” This study reported that anti-androgens combined with lifestyle modifications were more effective than metformin and lifestyle in reducing hirsutism and certain hormonal measures in women with PCOS, but they were not more effective than a placebo combined with lifestyle changes.
1 citations
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March 2024 in “Skin research and technology” In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.
April 2026 in “Scientific Reports” In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.
126 citations
,
April 2015 in “Clinical, cosmetic and investigational dermatology” This review discusses best practices for minimizing complications with dermal fillers and provides guidance based on expert consensus, yet it reports no new clinical results.
2 citations
,
January 2024 in “Journal of Emerging Investigators” 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.
1 citations
,
May 2025 in “Journal of Digital Information Management” This study evaluated different convolutional neural network architectures for diagnosing scalp and hair diseases, and found that VGG16 and VGG19 consistently outperformed other models in accuracy, demonstrating their effectiveness and reliability in this medical application.
3 citations
,
October 2021 in “Research Square (Research Square)” This study used in vivo confocal microscopy and a ResNet34 deep learning model to classify meibomian gland images with an AUROC greater than 0.95, indicating its potential for automatic diagnosis and screening of meibomian gland dysfunction.
April 2025 in “International Journal of Ayurvedic Medicine” This review reports the potential therapeutic effects of Semecarpus anacardium Linn. (Bhallataka), noting its compounds like anacardic acid may have anti-inflammatory, antioxidant, and anticancer properties, but emphasizes that further research is necessary to confirm these effects and determine safety due to inconsistent study methods.
January 2019 in “Springer eBooks” Platelet-rich plasma therapy may have benefits and is generally safe, but more research is needed to confirm its effectiveness and safety.
76 citations
,
July 2019 in “Cellular and Molecular Life Sciences” This article reviews the role of stem cells in tissue development, tumor formation, and organoid generation, and highlights the potential of epigenetic regulation in advancing regenerative medicine and cancer treatment, without presenting new experimental results.
4 citations
,
February 2025 in “Clinical Cosmetic and Investigational Dermatology” This study observed that hair characteristics significantly impact daily life, self-image, and well-being, varying by gender, ethnicity, and country, suggesting a need for interventions to address these psychological and social effects.
March 2026 in “Frontiers in Cell and Developmental Biology” This meta-analysis found that autologous cell-based therapies, especially stromal vascular fraction, significantly improved atrophic acne scars over control treatments, enhancing both clinical and patient-reported outcomes.
36 citations
,
September 2009 in “Journal of Cellular and Molecular Medicine” This review addresses the role of skin-resident adult stem/progenitor cells in skin homeostasis, disease, and cancer development, and reports no new research results.
19 citations
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October 2024 in “BMC Medical Informatics and Decision Making” This study used machine learning models to analyze PCOS symptoms for early diagnosis, finding Support Vector Machine and VGG16 algorithms achieved high accuracy rates of 94.44% and 98.29% respectively.
4 citations
,
May 2024 in “INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT” This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.
1 citations
,
January 2023 in “IEEE access” This review examines advancements in deep learning methods for detecting dermatological conditions from dermoscopic images, summarizing available datasets and suggesting future research directions, but reports no new results.
January 2024 in “International Journal of Advanced Computer Science and Applications” 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.
343 citations
,
December 2008 in “Endocrine Reviews” This review discusses the various evidence-based and potential applications of metformin in treating and preventing symptoms and complications associated with polycystic ovary syndrome but reports no new clinical results.
32 citations
,
September 1989 in “Medical Clinics of North America” This review describes the types of skin lesions associated with systemic lupus erythematosus, discussing their histopathological features, serologic associations, pathogenesis, and prognostic implications.
11 citations
,
November 2012 in “Seminars in Cutaneous Medicine and Surgery” This review summarizes current understanding and genetic insights into androgenetic alopecia, female pattern hair loss, and alopecia areata, noting the potential future role of molecular diagnostics, but it reports no new clinical results.
5 citations
,
November 2020 in “Frontiers in Cell and Developmental Biology” This study introduced a simple and reliable in vitro assay capable of large-scale simultaneous screening of hair growth-promoting compounds using a 3D co-culture system of human dermal papilla and outer root sheath cells.
June 2026 in “Ophthalmology and Therapy” This review concluded that near-infrared and red light photobiomodulation shows potential for certain ocular conditions like age-related macular degeneration and dry eye disease, but clinical evidence is still mixed and insufficient to establish it as a standard therapy.