14 citations,
September 2016 in “Journal of Cutaneous Pathology” The document concludes that new methods improve the accuracy of diagnosing scalp alopecia and challenges the old way of classifying it.
March 2021 in “CRC Press eBooks” Physical exams are important in hair loss diagnosis, considering cosmetic history, systemic diseases, and classifying alopecia types.
2 citations,
April 2018 in “Journal of Investigative Dermatology” The conclusion is that differentiating wound types in RDEB patients is important for clinical trials and understanding the disease.
212 citations,
September 2015 in “Journal of Investigative Dermatology” The document provides a method to classify human hair growth stages using a model with human scalp on mice, aiming to standardize hair research.
95 citations,
January 2007 in “Human biology” Human hair can be classified into eight types based on physical features, not ethnicity.
GoogLeNet is the best model for identifying folliculitis.
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.
125 citations,
July 2007 in “Journal of The American Academy of Dermatology” The BASP classification is a detailed and accurate way to categorize hair loss in both men and women.
74 citations,
April 2017 in “JEADV. Journal of the European Academy of Dermatology and Venereology/Journal of the European Academy of Dermatology and Venereology” Researchers found three patterns of Frontal fibrosing alopecia, with Pattern III having the best prognosis after treatment.
31 citations,
March 2018 in “Frontiers in Immunology” The document concludes that anti-dsDNA antibodies are not unique to SLE and their use as indicators is doubtful, highlighting the need for better understanding and classification of the disease.
16 citations,
February 1992 in “Journal of Consumer Marketing” The authors suggest systematically sourcing new product ideas from various internal and external places to improve innovation.
4 citations,
November 2011 in “Archives of Dermatology” Hamilton scale imprecise, hair shaft diameter decreases, stem cell transplant regrows hair, ECP ineffective for alopecia areata universalis.
2 citations,
March 2011 in “Journal of Cutaneous Pathology” The document suggests simplifying alopecia diagnosis and improving techniques for better accuracy.
1 citations,
February 2018 in “British Journal of Dermatology” The CWARTS tool is a promising method for assessing warts and could improve treatment and research.
Transfer learning with three neural network architectures accurately classifies hair diseases.
January 2016 in “프로그램북(구 초록집)” The revised BASP classification for hair loss is less accurate and harder to use but could still be a viable option.
November 2009 in “Hair transplant forum international” Dr. Bernard Cohen created a new system to classify hair loss using numbers and a detailed scalp map.
106 citations,
June 2005 in “Journal of Investigative Dermatology” The document concludes that assessing hair follicle damage due to cyclophosphamide in mice involves analyzing structural changes and suggests a scoring system for standardized evaluation.
90 citations,
June 2006 in “The American Journal of Dermatopathology” The document concludes that accurate diagnosis of different types of hair loss requires careful examination of hair and scalp tissue, considering both clinical and microscopic features.
57 citations,
May 2014 in “Molecular Phylogenetics and Evolution” The research found how GPCR Class A Rhodopsin receptors are related and suggested possible substances they interact with.
26 citations,
August 2020 in “Dermatology Research and Practice” COVID-19 can cause various skin problems, including reactions to protective gear and medication, with different rates reported worldwide, and more research is needed to fully understand these skin issues.
24 citations,
June 2012 in “BMC Research Notes” The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
5 citations,
July 2000 in “Southern Medical Journal” Male pattern baldness is often genetic and linked to a hormone, with treatments like finasteride and minoxidil being effective for some men.
The system can automatically identify different hair and scalp conditions using machine learning.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
January 2022 in “Journal of Pharmaceutical Negative Results” The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
November 2021 in “Chattagram Maa-O-Shishu Hospital Medical College Journal” Most patients with Cutaneous Lupus Erythematosus are young females, and dermatologists play a key role in diagnosis.
Diagnosing oral ulcers can be complex and requires careful examination and follow-up.
June 2003 in “Journal of Investigative Dermatology Symposium Proceedings” Advancements in hair biology include new treatments and tools for hair growth and alopecia.