research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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research Dermatologic Features of Classic Movie Villains
Most classic movie villains have skin conditions, unlike the heroes, which may cause bias against real people with similar conditions.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
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 The Efficiency of Platelet-Rich Plasma (PRP) in Treating Post-Burn and Surgical Scars: A Meta-Analysis Study
PRP may help reduce scar symptoms like pain and itching after six months.
research Development of a Chitosan Nanofibrillar Scaffold for Skin Repair and Regeneration
Chitosan nanofiber scaffolds improve skin healing and are promising for wound treatment.
research Superior Root Hair Formation Confers Root Efficiency in Some, But Not All, Rice Genotypes upon P Deficiency
Some rice types grow better roots for phosphorus uptake, but not all do.
research Roxithromycin-loaded lipid nanoparticles for follicular targeting
Tiny particles carrying roxithromycin can effectively target and deliver the drug to hair follicles without irritation.
research Nobiletin-loaded composite penetration enhancer vesicles restore the normal miRNA expression and the chief defence antioxidant levels in skin cancer
Nobiletin-loaded vesicles effectively treat skin cancer by restoring normal miRNA and antioxidant levels.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.