research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
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research The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Unseen Sentences
Syntax-based neural networks can match Transformers in handling unseen sentences.
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.
research Androgen Signaling Regulates SARS-CoV-2 Receptor Levels and Is Associated with Severe COVID-19 Symptoms in Men
Male hormones affect COVID-19 severity and certain drugs targeting these hormones could help reduce the risk.
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 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 Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
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 An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Failures of DNA Methylation Clocks and Development of a Noise Barometer for Measuring Epigenetic Pressure of Aging and Disease
Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.
research Prediction of Therapeutic Outcomes of Female Pattern Hair Loss Patients Based on Clinical Features with Application of Artificial Intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Assessing a Measure for Quality of Life in Patients with Severe Alopecia Areata: A Multicentric Italian Study
Alopecia Areata severely impacts mental health, causing anxiety and depression, affecting quality of life.
research Drug Repurposing Against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
Afatinib, neratinib, and zanubrutinib could be effective against KRASG12C-mutant tumors.
research Data-Driven Analysis to Understand Long COVID Using Electronic Health Records From the RECOVER Initiative
Long COVID patients have more health issues than non-infected people.
research Bayesian Measurement-Error-Driven Hidden Markov Regression Model for Calibrating the Effect of Covariates on Multistate Outcomes: Application to Androgenetic Alopecia
Model improves accuracy in predicting hair loss 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 Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-Based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research A Human Prenatal Skin Cell Atlas Reveals Immune Cell Regulation of Skin Morphogenesis
Immune cells are essential for early hair and skin development and healing.
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 KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research Detecting Shortcut Learning for Fair Medical AI Using Shortcut Testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research Estimating Scalp Moisture In A Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.