Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

This review discusses the diagnostic challenges of androgen and estrogen-secreting adrenal tumors and highlights that the presence of metastases is the most reliable indicator of malignancy; it reports no new clinical findings.

This Viewpoint discusses the utility of dermoscope in routine practice and how familiarity with dynamic vs static trichoscopy may address its limitations, but it reports no new clinical findings.

This study demonstrated that current facial recognition software can accurately identify individuals from MRI head scans within minutes, highlighting significant privacy concerns for clinical trial participants and the need for enhanced data protection measures.

This study retrospectively analyzed 3028 patients with telogen effluvium, finding that 6.2% had iron deficiency anemia and vitamin D deficiency was common, especially in women who were more often prescribed vitamin D therapy.

This correspondence discusses issues related to overharvesting and challenges in measuring factors that impact donor coverage in hair transplantation procedures, but it does not report specific study results or outcomes.

The authors concluded that incorporating routine endocrinology consultations into transplant care could address CNI-related endocrine toxicities, but prospective studies are needed to assess the impact on graft and patient survival.

This study proposed and tested an Ensemble Pre-Learned Deep Learning and Optimized Long Short-Term Memory (EPL-OLSTM) model for classifying Alopecia Areata, achieving a 93.1% accuracy in differentiating healthy from varying severity levels of AA scalp hair using specific datasets.

Both surgical and non-surgical hair loss treatments lack a standard treatment plan and sufficient patient satisfaction data.

This study used artificial neural networks to predict hair loss by analyzing factors like gender and zinc deficiency, suggesting neural networks may effectively model hair loss prediction.

This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.

In this study, researchers successfully constructed a high-precision three-dimensional model of human skin dermis, revealing a detailed analysis of dermal porosity and pore diameter distribution, which can aid the development of biomimetic tissue-engineered skin.

This chapter discusses Bayesian networks, their properties, and how they enable probabilistic inference with continuous variables, but it reports no new findings.

Dermoscopy greatly improves melanoma diagnosis and reduces unneeded surgeries.

This thesis presents research conducted in partial fulfillment of a Master's degree in Software Systems Engineering but does not report new empirical findings.

This article highlights both the opportunities and challenges of using big data in dermatology, noting potential benefits like improved diagnostics and public health monitoring, alongside challenges such as data quality and AI training disparities.

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.

This study suggests that artificial intelligence could significantly enhance histology education for medical and dental students, but its implementation faces challenges like cost, accuracy, and ethical considerations.

In this observational study, dutasteride treatment was associated with statistically significant stabilization of frontal fibrosing alopecia compared to other systemic therapies, with a dose-dependent effect observed across the frontal and bilateral temporal hairlines.

Among families with pediatric brain disease, this study identified over 200 novel genetic causes, revealing potential treatment points using drug repurposing or nutritional supplementation.

This review discusses therapeutic principles for managing hirsutism and androgenetic alopecia during the menopausal transition and peri-/postmenopause but reports no new clinical results.

This article examines the emergence of predictive analytics with big data and concludes that Foucault's concept of biopower is now a hybrid involving various technologies to monitor and model behavior and risk.

This study found that Raman spectroscopy has potential for detecting biophysical differences in basal cell carcinoma compared to normal skin structures, supporting its future use in Mohs surgery.

This article reviews seborrheic scalp dermatitis management in Italy, outlining expert recommendations on diagnosis and treatment, but reports no new clinical results.

In this study, researchers introduced a machine learning approach to discover new nanozymes through the DiZyme platform, enabling the accurate prediction of multiple catalytic activities, and providing a comprehensive database and assistant resources for users.

This study reports that deep learning models, particularly CNN and FCN, achieved high accuracy in diagnosing scalp and skin disorders, suggesting potential for improved diagnostic systems with further advancements.

This review explains various types of hair loss and unwanted hair growth in women, emphasizing the complexity of treatment due to their diverse causes, but it reports no new clinical results.

The document reviews various hair and nail disorders, their causes, and treatments, emphasizing the need for proper diagnosis and the link between nail changes and systemic diseases.

This study developed a new method for analyzing multivariate time-series data that successfully predicts website competition dynamics and outperforms conventional methods in identifying and predicting competitive structures.

The abstract contains only graphic design specifications and reports no new research findings.

This article reviews a comprehensive textbook on cosmetic dermatology techniques and devices, noting its practicality and usefulness for both novice and experienced clinicians, but reports no new clinical findings.