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This review evaluates recent advances from 2016 to 2022 in the use of microbubbles and nanobubbles, highlighting their potential for safer diagnostic and therapeutic applications in radiology and medicine without the side effects associated with traditional methods.

This review discusses the challenges in measuring testosterone for assessing androgen excess in women and emphasizes the importance of quality control in laboratory methods, but it reports no new clinical results.

This study indicates potential differences in the hair spectra of individuals with mood disorders, suggesting a promising, yet preliminary, method for noninvasive prediagnosis.

This article presents a comprehensive overview of hair microscopy techniques and their diagnostic potential for systemic and cutaneous disorders, emphasizing its usefulness in resource-limited settings and highlighting the underutilization of this non-invasive method due to lack of awareness.

This review discusses how emerging technologies in dermatology are enhancing the ability to diagnose and treat hair and nail disorders more accurately and effectively, highlighting advancements in both diagnostic techniques and therapeutic methods such as AI-driven technologies that personalize patient care and improve outcomes.

This study found that using XGBoost with clinical and ultrasound features may provide a highly accurate, non-invasive method for diagnosing polycystic ovary syndrome, although further validation is needed to ensure robustness.

This review discusses telogen effluvium, including its causes, symptoms, diagnostic methods, and treatment strategies, without presenting new clinical findings.

In this study, researchers found that parasitic dermatitis in dogs is predominantly caused by ectoparasites like fleas and mites, with flea allergy dermatitis being particularly prevalent, and noted that diagnosis typically relies on laboratory methods, while treatments involve insectoacaricidal drugs and prevention strategies.

In this study conducted from September to November 2023, researchers used trichoscopy to accurately diagnose cicatricial alopecias by revealing unique patterns, reducing the need for biopsies, and proving to be a valuable non-invasive diagnostic method.

This study found that trichoscopy, a non-invasive diagnostic method, may effectively differentiate between types of focal alopecia in the parietal area in adult women, indicating specific trichoscopic features for conditions like alopecia areata, discoid lupus erythematosus, and lichen planopilaris.

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 found that using machine learning models, particularly Random Forest with 93% accuracy and 86% sensitivity, can effectively predict PCOS by analyzing features like antral follicle count, hair growth, and skin pigmentation, offering a promising alternative to traditional diagnostic methods.

This article discusses telogen effluvium in women, its causes, and typical diagnostic methods, but reports no new research findings on clinical outcomes or treatments.

This article reviews uncombable hair syndrome, highlighting its symptoms, potential diagnosis methods, and the suggestion for biotin supplements, but it reports no new empirical results.

This source reviews alopecia areata, highlighting its epidemiology, immune-related causes, diagnostic methods, and the shift in treatment with JAK inhibitors like baricitinib and ritlecitinib, marking the first disease-modifying options for this hair loss condition.

In this review, the authors explored current and novel treatment options for androgenetic alopecia, noting both FDA-approved pharmacologic treatments like Minoxidil and Finasteride and various non-pharmacologic and surgical methods, including hair transplantation and scalp micro-pigmentation.

This review summarizes the latest evidence on testosterone, detailing its clinical indications, diagnostic tests, and impacts on various male organs, while also noting its association with aging, metabolic disorders, and increased mortality risk due to androgen deficiency.

This review provides an overview of androgenetic alopecia, detailing its causes, diagnostic methods, and current treatments, noting that combination therapies show promise but newer options like cell-based treatments require more research.

Dermoscopy greatly improves melanoma diagnosis and reduces unneeded surgeries.

This article discusses the diagnostic methods for differentiating alopecia areata from similar hair loss conditions and emphasizes the importance of accurate diagnosis, but it reports no new research findings.

This article argues that esthetic dermatology could benefit from a more biologically informed approach through the integration of advanced biomarkers and imaging technologies, but cautions that many tools are not yet fully validated for clinical use.

Effective hair loss treatments require medical diagnosis and realistic expectations, with hair transplants offering improved, natural-looking results.

This study proposes a method for automatically removing hairs from skin lesion images by using edge-tangent flow for hair detection and texture synthesis for restoring occluded regions with minimal artifacts.

This paper presents a new method using Convolutional Neural Networks for detecting hair and scalp diseases, aiming to enhance diagnostics accessibility through a web-based platform integration.

This study explored non-invasive methods for monitoring low molecular weight biomarkers on the skin's surface, concluding that certain amino acid ratios, such as Phe/Trp, could serve as potential indicators of skin inflammation and cancer.

The CWARTS tool is a promising method for assessing warts and could improve treatment and research.

This review discusses the classification, diagnosis, and potential treatment pathways for Alopecia Areata, emphasizing the complex genetic and immunological factors involved, but reports no new clinical results.

This review covers recent developments in inner ear therapeutics and gene delivery methods but reports no new clinical results; it highlights potential strategies for treating hearing and balance disorders.

This review discusses the evolution and potential of non-invasive imaging techniques for diagnosing scalp diseases, highlighting their advantages and limitations compared to trichoscopy and scalp biopsy, the current diagnostic standards.

This study developed a convolutional neural network model for non-invasive diagnosis of androgenetic alopecia using dermoscopic images, demonstrating potential accuracy and scalability while highlighting the importance of model interpretability for clinical use.