7 citations
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October 2023 in “Journal of Intelligent & Fuzzy Systems” The new model improves Alopecia Areata classification accuracy to 93.1%.
3 citations
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August 2024 Deep skin fibroblasts help recruit immune cells for better wound healing.
3 citations
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October 2023 in “Plastic & Reconstructive Surgery Global Open” Nanofat injections before hair transplantation improve eyebrow restoration in burn scars.
2 citations
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January 2024 in “Pharmaceuticals” Deep eutectic solvents are eco-friendly and effective for extracting useful pharmaceutical compounds.
2 citations
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January 2024 AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
1 citations
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November 2024 VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
1 citations
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March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
1 citations
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March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
1 citations
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August 2023 in “arXiv (Cornell University)” Deep learning effectively diagnoses scalp disorders, but improvements are needed.
1 citations
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January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
1 citations
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February 2004 in “Dermatologic Surgery” Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension, leading to better healing and less scarring.
March 2026 in “ACS Applied Materials & Interfaces” A new dissolving microneedle system effectively delivers minoxidil for hair regrowth with minimal side effects.
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
November 2025 in “Analytical Chemistry” A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.
November 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” A new method helps find proteins in hair to identify fetal growth issues.
October 2025 in “Chinese Chemical Letters” Using a special solvent can make Cacumen Platycladi essential oil more effective for treating hair loss.
The model accurately predicts hair loss severity in alopecia areata.
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
June 2025 in “Indian Journal of Veterinary Medicine” The dog's skin infection was cured with a new antibiotic treatment and supplements.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
September 2024 in “Journal of Investigative Dermatology” A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
The model accurately classifies hair conditions with 97% accuracy.
January 2024 in “International Journal of Advanced Computer Science and Applications” Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
January 2024 in “Wiadomości Lekarskie” pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
Deep eutectic solvents can replace toxic solvents in extracting useful compounds for medicines.
GoogLeNet is the best model for identifying folliculitis.
May 2023 in “Indian journal of science and technology” The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
December 2022 in “Research Square (Research Square)” The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.