research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
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research Trichoscopy of alopecia areata: An update
Trichoscopy helps diagnose and monitor alopecia areata by looking at a combination of specific hair and scalp features.
research Crystal structure of steroid reductase SRD5A reveals conserved steroid reduction mechanism
The structure of SRD5A reveals how it reduces steroids, aiding drug design for related health conditions.
research Table of Contents
Second-generation antipsychotics offer no significant benefit over first-generation ones for schizophrenia.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research The Role of Therapy in Impairing Quality of Life in Dermatological Patients: A Multinational Study
Skin treatment can lower life quality for patients with skin conditions.
research Levodopa-induced skin disorders in patients with Parkinson disease: a systematic literature review approach
Levodopa for Parkinson's disease might be linked to skin issues like melanoma, but it's unclear if the drug or the disease causes them.
research AIMP1-Derived Peptide Secreted from Hair Follicle Stem Cells Promotes Hair Growth by Activating Dermal Papilla Cells
A peptide from hair follicle stem cells can boost hair growth.
research Ocular Side Effects of Eyelash Extension Use Among Female Students of the University of Benin, Benin City, Edo State, Nigeria
Eyelash extensions can cause eye problems like itching, redness, and heavy eyelids.
research KRT17: A Key Driver of Cancer Therapy Resistance and Emerging Therapeutic Target
Targeting Keratin 17 may help overcome cancer therapy resistance.
research Real-World Assessment of Disease Characteristics and Clinical Outcomes in Alopecia Areata in a Global Noninterventional Observational Cohort (ADAAGIO)
Current treatments for alopecia areata often fail to achieve and maintain significant hair regrowth.
research Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
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 Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
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 A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research 891 Comparison of phenotypes and transcriptomes of mouse skin-derived precursors and dermal mesenchymal stem cells
The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
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 Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Computing Your Ideal Haircut Routine
The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
research How I Do It: Ahmad’s NPRT System: A New Classification System for Documenting Male Pattern Baldness
Dr. Muhammad Ahmad created a simpler system to better describe male pattern hair loss.