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.
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.
November 2022 in “PubMed” Deep dermal tissue dislocation injury in pigs leads to thicker fibrotic tissue and increased type III collagen, affecting skin repair.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
July 2022 in “International Journal of Applied Pharmaceutics” Machine learning and deep learning can effectively diagnose alopecia areata.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
April 2017 in “Journal of Investigative Dermatology” Deep phenotyping helps distinguish between xeroderma pigmentosum and trichothiodystrophy, aiding in diagnosis and treatment.
July 2007 in “Hair transplant forum international” Patients may be at risk for deep vein thrombosis.
February 2004 in “Dermatologic Surgery” Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension and minimal scarring.
Meshushit ointment helps form thicker healing tissue and preserves hair follicles in burns.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
5 citations
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September 2010 in “Cancer Prevention Research” The research suggests new treatments for skin cancer could target specific cell growth pathways.
1 citations
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May 2025 in “Journal of Digital Information Management” VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
March 2026 in “Pharmaceutics” TheDES improve drug delivery through the skin but need more safety checks.
February 2026 in “Expert Review of Endocrinology & Metabolism” Early identification and personalized treatment of skin issues in PCOS are crucial for better outcomes.
November 2025 in “Journal of Investigative Dermatology” Certain immune cells in atopic dermatitis skin could be targeted for treatment.
June 2025 in “Formosa Journal of Sustainable Research” Mangkokan leaf extract can fight bacteria and may help prevent hair loss and treat infections.
September 2023 in “JP Journal of Biostatistics” The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
65 citations
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December 2000 in “PubMed” The biology of skin and hair is complex and not fully understood.
34 citations
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June 2005 in “Journal of cosmetic dermatology” Medium-depth peels are safer and effective for improving skin appearance compared to deep peels.
21 citations
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March 2023 in “Journal of Crohn s and Colitis” Microvascular damage and platelet issues persist in ulcerative colitis remission, helping assess disease states.
13 citations
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February 2025 in “Nature Communications” A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.