research The Dark Side of the Language: Pre-Trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
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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 Incorporating Hair Replacement Into Your Practice
Adding hair restoration to a cosmetic surgery practice requires a skilled team and specialized equipment.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research Hair and Scalp Disease Detection Using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
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 A Comprehensive Approach to Hair Pathology of Horizontal Sections
A new method using visual aids to diagnose hair diseases was effective after brief training.
research Robotically Assisted Recipient Site Preparation in Hair Restoration Surgery
Robotic systems in hair transplant surgery are safe, reliable, and as efficient as manual methods, with high patient satisfaction.
research Recent Advances in Hair Restoration
Hair restoration surgery is improving, with less painful techniques like FUE and robotic systems, but they can be costly and require training.
research Animals in Dermatology
Using animal names for skin conditions helps with learning and memory.
research Mono-Letter Mnemonics in Dermatology
Mnemonics with one letter are useful and easy to remember for learning dermatology.
research Learning and Friendship: Highlights from the Dermatology Nurses’ Association Annual Meeting
The author found the Dermatology Nurses’ Association’s annual meeting valuable for both learning and making friends.
research Weakly Supervised Learning of Biomedical Information Extraction from Curated Data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
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 Construction of Regulatory Network for Alopecia Areata Progression and Identification of Immune Monitoring Genes Based on Multiple Machine-Learning Algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research Identification of Ferroptosis-Related Biomarkers in Alopecia Areata Through Machine Learning
Four genes are potential markers for hair loss condition alopecia areata, linked to a specific type of cell death.
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 Deep Learning Model to Predict Sentinel Lymph Node Status in Melanoma Patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
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 Predictive Modeling of Patient Response to JAK/STAT Inhibitors and Dynamic Patient-Matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Research on Mental Stress Recognition of Depressive Disorders in Patients with Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research Hair Loss And Regeneration Performed On Animal Models
Animal models are crucial for learning about hair loss and finding treatments.
research Neonatal Finasteride Induces Anxiogenic-Like Profile and Deteriorates Passive Avoidance in Adulthood After Intrahippocampal Neurosteroid Administration
Finasteride given to baby rats causes anxiety-like behavior and worsens learning from punishment in adult rats.
research Hair Transplantation
The book is a detailed and useful guide for doctors learning about hair transplantation.
research Follicular-Unit Hair Grafting
Follicular-unit grafting is an effective hair transplant method that looks natural and has a high success rate.
research Mnemonics in Dermatology
Mnemonics help improve memory in dermatology by up to 50%.
research How to Assess Dermatology Resident Surgical Training: New Techniques
New evaluation tools are needed for better surgical training in dermatology residency programs.
research How Good Is Artificial Intelligence at Solving Hairy Problems? A Review of AI Applications in Hair Restoration and Hair Disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Long Hair Follicular Unit Excision: Personal Experience
Long hair follicular unit excision is effective for hair transplants, providing quick, natural-looking results with less pain but needs more time, staff, and skill.
research Uncharted Waters: The Impact of NGS and Machine Learning on Forensic Science
New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.