research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
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research Hair Disease Classification Using Convolutional Neural Network Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research LO-010 Relationship Between The EULAR/ACR Classification Criteria And Organ Damage In Systemic Lupus Erythematosus
Higher EULAR/ACR scores in SLE patients predict more organ damage.
research The New Classification Criteria of Systemic Lupus Erythematosus
The 2012 SLICC criteria provide an updated method for classifying Systemic Lupus Erythematosus.
research Peripheral Blood Gene Expression in Alopecia Areata Reveals Molecular Pathways Distinguishing Heritability, Disease, and Severity
Blood tests can help understand the genetic differences in people with alopecia areata, including how severe it is and if it's inherited.
research Unveiling the Roots of Monogenic Genodermatoses: Genotrichoses as a Paradigm
New gene identification techniques have improved the understanding and classification of inherited hair disorders.
research Clinical Manifestations of Cutaneous Lupus Erythematosus
Most people with systemic lupus erythematosus have skin problems, and skin symptoms are often the first sign of the disease.
research Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
Machine learning is effective in predicting gene functions and their relationships with diseases.
research Skin Manifestations of Rheumatological Diseases
Skin changes are key for early diagnosis and treatment of rheumatic diseases.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
research Optimizing Skin Disease Diagnosis: Harnessing Online Community Data With Contrastive Learning and Clustering Techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Graft-Versus-Host Disease: Comprehensive Overview by the American Academy of Dermatology
Graft-versus-host disease is a complication where donor immune cells attack the recipient's body, often affecting the skin, liver, and gastrointestinal tract.
research Exfoliative Cutaneous Lupus Erythematosus in German Shorthaired Pointer Dogs: Disease Development, Progression, and Evaluation of Three Immunomodulatory Drugs (Ciclosporin, Hydroxychloroquine, and Adalimumab) in a Controlled Environment
Hydroxychloroquine showed some potential, but overall, the three drugs had limited success in treating lupus in dogs.
research Scalp Disease Analysis Using Deep Learning Models
Deep learning models can analyze scalp diseases effectively.
research Generative Adversarial Networks for Anonymous Acneic Face Dataset Generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Skin
Skin problems are common in Lupus patients and can indicate the disease's severity, requiring specific treatments and lifestyle changes.
research Hair Loss Disorders in Domestic Animals
The book is recommended for its new scientific information and balanced treatment options for hair loss in domestic animals.
research Hidradenitis Suppurativa, Acne Inversa, Dissecting Terminal Hair Folliculitis
Hidradenitis Suppurativa is a chronic skin condition best treated early with surgery for better outcomes and less recurrence.
research Extensive Alopecia Areata Is Reversed by IL-12/IL-23p40 Cytokine Antagonism
Blocking IL-12/IL-23p40 helped reverse severe hair loss in patients.
research Update on the Genetics of Androgenetic Alopecia, Female Pattern Hair Loss, and Alopecia Areata: Implications for Molecular Diagnostic Testing
Genetic factors affect hair loss, and molecular testing may help predict, diagnose, and treat it.
research Myotonic Dystrophy Type 1: Enhancing Patient Management Through Genetic and Multisystem Studies
There is no cure for myotonic dystrophy type 1, so treatment focuses on managing symptoms and complications.
research Abstracts
The document reports findings on genetic research, including ethical concerns about genome editing, improved diagnosis of mitochondrial mutations, solving inherited eye diseases, confirming gene roles in epilepsy, linking a gene to aneurysms, and identifying genes associated with age-related macular degeneration.
research Clinical Review of Ejaculatory Dysfunction
The review suggests new ways to classify ejaculation problems and recommends different treatments based on the type of issue.
research Leveraging Deep Neural Networks to Uncover Unprecedented Levels of Precision in the Diagnosis of Hair and Scalp Disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Management of Primary Cicatricial Alopecias: Options for Treatment
There are many treatments for permanent hair loss disorders, but their effectiveness varies and there's no clear best option.
research Persistent Erectile Dysfunction in Men Exposed to 5α-Reductase Inhibitors, Finasteride, or Dutasteride
Using finasteride or dutasteride may cause long-lasting erectile dysfunction.
research Alopecias Due to Drugs and Other Skin and Systemic Disorders
Hair loss can be caused by stress, infections, drugs, and various diseases, with treatment depending on accurate diagnosis.
research Change in Dermatology Practice During Crisis and Normalization Periods After the COVID-19 Pandemic and Potential Problems Awaiting Us
The COVID-19 pandemic led to fewer dermatology patients, more stress-related skin conditions during the crisis, and a rise in contact dermatitis after, with ongoing concerns for public health and treatment delays.