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.
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research A Machine Learning and Network Framework to Discover New Indications for Small Molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research Hair Cluster Detection Model Based on Dermoscopic Images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Complementary Evolution of Coding and Noncoding Sequence Underlies Mammalian Hairlessness
Hairless mammals have genetic changes in both their protein-coding and regulatory sequences related to hair.
research Complementary Evolution of Coding and Noncoding Sequence Underlies Mammalian Hairlessness
Both gene and non-gene areas of DNA evolved to make some mammals hairless.
research Analysis of 72,469 UK Biobank Exomes Links Rare Variants to Male-Pattern Hair Loss
Rare genetic variants in five specific genes are linked to male-pattern hair loss but only account for a small part of the risk.
research Editor's Evaluation: Complementary Evolution of Coding and Noncoding Sequence Underlies Mammalian Hairlessness
Hairlessness in mammals is due to complex genetic changes in both genes and regulatory regions.
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 Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and an Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
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 Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research Azimuthal Scattering from Elliptical Hair Fibers
Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.
research Male-Pattern Hair Loss: Comprehensive Identification of the Associated Genes as a Basis for Understanding Pathophysiology
Male-pattern hair loss is largely influenced by genetics, with key genes identified.
research Prediction of Male-Pattern Baldness from Genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Patients Treated for Male Pattern Hair Loss with Finasteride Show Altered Levels of Neuroactive Steroids in Cerebrospinal Fluid and Plasma After Discontinuation
Finasteride affects brain and blood steroids, causing lasting sexual and emotional side effects.
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 Consensus on Women's Health Aspects of Polycystic Ovary Syndrome: The Amsterdam ESHRE/ASRM-Sponsored 3rd PCOS Consensus Workshop Group
Experts agree that PCOS affects women's health in complex ways, but more research is needed to understand and treat it effectively.
research Neuroactive Steroid Levels and Psychiatric and Andrological Features in Post-Finasteride Patients
Post-finasteride patients show changed neuroactive steroid levels, possibly causing erectile dysfunction and depression.
research Mouse Hair Cycle Expression Dynamics Modeled as Coupled Mesenchymal and Epithelial Oscillators
The study concluded that hair growth in mice is regulated by a stable interaction between skin cell types, and disrupting this can cause hair loss.
research Practical Approaches to Medical and Cosmetic Dermatology in Skin of Color Patients
The document concludes that patients with skin of color need specialized dermatological care and education to manage unique skin conditions effectively.
research Three-Dimensional Proteome-Wide Scale Screening for the 5-Alpha Reductase Inhibitor Finasteride: Identification of a Novel Off-Target
Finasteride may affect PNMT, causing side effects.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-Sectional Study
The study aims to create a model to improve personalized and preventive health care.
research Lab Quality Management and Methodology
Men with early balding should be checked for metabolic syndrome, as there's a link between the two.
research Update on Outcome Measures for Pediatric Systemic Lupus Erythematosus
New tools and criteria have been developed to better assess and treat pediatric lupus.
research Genetic Prediction of Male Pattern Baldness Based on Large Independent Datasets
New models predict male pattern baldness better than old ones but still need improvement.
research Delivery of Minoxidil Encapsulated in Cyclodextrins with Photoacoustic Waves Enhances Hair Growth
Using photoacoustic waves to deliver minoxidil improves hair growth effectively and safely.