research Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches
Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.
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510-540 / 1000+ results research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research Genetic Fate Mapping Using Site-Specific Recombinases
The document concludes that careful design of genetic fate mapping experiments is crucial for accurate cell lineage tracing in mice.
research Balancing Benefits and Limitations of Artificial Intelligence in Cosmetic Surgery
AI improves cosmetic surgery but requires ethical and legal oversight to ensure safe use.
research Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
research The steroidogenic inhibitor finasteride reverses pramipexole-induced alterations in probability discounting
Finasteride may help reduce impulsivity caused by pramipexole.
research Optimizing Skin Quality via AI-Enhanced Physical Activity
AI can personalize exercise routines to improve skin health.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Persistent escalation of alcohol consumption by mice exposed to brief episodes of social defeat stress: suppression by CRF-R1 antagonism
Blocking CRF-R1 can reduce alcohol intake in stressed mice.
research Effects of Restraint Stress and Allopregnanolone Inhibition on Amphetamine Locomotor Sensitivity
Targeting neurosteroids may help prevent drug relapse.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Impact of artificial intelligence on healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research What happens when simulations get real and cosmetic dermatology goes virtual?
AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
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 Regulation of itch-induced scratching by nucleus accumbens dopamine receptor-expressing neurons
Dopamine receptors in the brain influence itch-related scratching behavior.
research Artificial Intelligence in Healthcare – A Review
AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research Trichotillomania/Hair Pulling Disorder
Habit reversal training effectively treats hair-pulling disorder in both adults and children.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.
research Repeated Low-Level Red-Light Therapy for Controlling Onset and Progression of Myopia-a Review
Red-light therapy may slow myopia progression better than traditional treatments.
research 724 - A phase 2b, randomized, double-blinded, parallel-group, placebo-controlled study to evaluate the efficacy and safety of rezpegaldesleukin in adults with severe to very-severe alopecia areata
Rezpegaldesleukin shows promise for treating severe alopecia areata.
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 Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.