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.
January 2005 in “Chinese Journal of Aesthetic Medicine” The combined hair transplant technique was effective and had high patient satisfaction.
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
October 2023 in “Naunyn-Schmiedeberg's Archives of Pharmacology” Custom software found that common allergy drugs might have new uses for various conditions and could improve survival in some cancers.
January 2026 in “Microsystems & Nanoengineering” New technologies replicate human skin for testing without animals.
20 citations
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November 2019 in “Current Opinion in Systems Biology” The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
September 2025 in “Frontiers in Genetics” The method effectively extracts high-quality DNA from marmoset hair, avoiding blood chimerism.
70 citations
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June 2023 in “International Journal of Molecular Sciences” Air pollution harms skin health and can worsen skin diseases.
66 citations
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June 2010 in “Experimental Dermatology” The hair follicle is a great model for research to improve hair growth treatments.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, avoiding blood chimerism.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, reducing blood chimerism.
4 citations
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January 2021 in “Dermatologic Therapy” AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
29 citations
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January 2010 in “PubMed” FUE hair transplants offer minimal scarring and are good for short hairstyles but are time-consuming and can be costly.
An automated system can accurately classify hair disorders using image analysis.
1 citations
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December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
91 citations
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December 2006 in “Proceedings of the National Academy of Sciences” Hair patterns in mice are controlled by both a global system dependent on Fz6 and a local self-organizing system.
29 citations
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March 1983 in “Journal of The American Academy of Dermatology” New treatments for psoriasis have improved effectiveness and may reduce long-term side effects when combined with standard therapies.
May 2013 in “Proceedings of SPIE” Researchers created a system that accurately aligns laser beams automatically.
April 2023 in “Journal of Investigative Dermatology” An automated system can predict death risk in thin melanoma by analyzing immune cells.
42 citations
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January 2014 in “Cold Spring Harbor Perspectives in Medicine” Hair growth is influenced by various body and external factors, and neighboring hairs communicate to synchronize regeneration.
December 2023 in “PubMed” Homemade skin products can cause allergic reactions, so use registered products if you have allergies.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
July 2022 in “Journal of Investigative Dermatology” The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
The system can automatically identify different hair and scalp conditions using machine learning.
5 citations
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January 2025 in “BMC Medical Informatics and Decision Making” Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
9 citations
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January 2011 in “Skin Research and Technology” The new automatic tool accurately measures hair thickness and is reliable.
3 citations
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October 2020 in “Arthritis Care & Research” New tools and criteria have been developed to better assess and treat pediatric lupus.
January 2026 in “China CDC Weekly” The study explored the use of large language models (LLMs) for automated identification of monkeypox (mpox) from electronic medical records (EMRs) in Shenzhen, China, involving 239 individuals (126 mpox cases and 113 controls). The DeepSeek-R1-14B model was used to extract clinical features from free-text data, outperforming traditional methods and achieving high accuracy (96.1%) in identifying symptoms like fever and rash. Logistic regression based on these features showed the best performance with an AUROC of 0.927 and accuracy of 87.5%. The study concludes that LLM-based extraction of clinical features from EMRs is a promising approach for early mpox case identification, supporting intelligent surveillance and early warning systems.
March 2026 in “International Journal of Science Strategic Management and Technology” WomenCare helps predict PCOD risk in women to encourage early medical consultation.
September 2023 in “Chinese Medical Journal” Robotic surgical systems are being used more in plastic and reconstructive surgery due to their precision and control, improving patient outcomes and satisfaction, despite challenges like high costs.