research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification December 2024 The model accurately identifies hair diseases using deep learning.
research ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health 74 citations , January 2020 in “IEEE Access” ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
research Quantitative analysis and development of alopecia areata classification frameworks 2 citations , January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders 1 citations , March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research AIMP1-Derived Peptide Secreted from Hair Follicle Stem Cells Promotes Hair Growth by Activating Dermal Papilla Cells 5 citations , October 2024 in “International Journal of Biological Sciences” A peptide from hair follicle stem cells can boost hair growth.
community Finally, some real breakthroughs. A comparison of the two leading baldness treatments: PP405 versus ABS-201 in Technology 107 upvotes 8 months ago PP405 and ABS-201 are promising treatments for male pattern baldness. PP405 shows rapid hair growth in human trials, while ABS-201 shows significant regrowth in animal studies but is still in early human trials.