8 citations,
August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
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.
11 citations,
May 2011 in “World Journal of Pediatrics” The document emphasizes the importance of correctly identifying and classifying genetic hair disorders to help diagnose related health conditions.
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,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
34 citations,
January 2020 in “IEEE Access” A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
The system can automatically identify different hair and scalp conditions using machine learning.
10 citations,
May 2018 in “Neuropharmacology” Drugs for hormone-related conditions might help treat mental disorders but could have serious side effects.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
3 citations,
January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
232 citations,
January 2016 in “BMC Bioinformatics” The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
35 citations,
June 2005 in “The Milbank Quarterly” The conclusion is that formalizing how past decisions influence current health technology assessments could improve the credibility and defense of coverage decisions.
1 citations,
July 2007 in “Regenerative Medicine” Stem cell research and regenerative medicine have made significant advancements in treating various diseases and conditions.
January 2024 in “Acta Facultatis Medicae Naissensis” Cosmeceuticals are important for managing skin issues during the COVID-19 pandemic.
8 citations,
November 2022 in “International Journal of Cosmetic Science” Human hair varies widely and should be classified by curl type rather than race.
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.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
1 citations,
December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
41 citations,
May 2020 in “Frontiers in immunology” Hidradenitis suppurativa might be a type of autoinflammatory skin disease.
13 citations,
January 2015 in “Molecular Pharmaceutics” Minoxidil works well as a high permeability reference drug for biopharmaceutics classification.
33 citations,
September 1998 in “Dermatologic Surgery” Surgeons suggested a standard system for hair transplant methods to improve communication and results.
8 citations,
August 2020 in “PLOS Computational Biology” A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
11 citations,
January 2015 in “Dermatology” The conclusion suggests a new way to classify bradykinin-mediated angio-oedema based on different causes and its possible link with urticaria, which could improve diagnosis and treatment.
26 citations,
December 2011 in “Journal of Investigative Dermatology” New gene identification techniques have improved the understanding and classification of inherited hair disorders.
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.
49 citations,
June 2009 in “Seminars in Cutaneous Medicine and Surgery” The cosmetic industry should adapt to the varied beauty standards of ethnic groups and offer specialized treatments.
September 2023 in “International journal of Unani and integrative medicine” Hair loss patterns are linked to temperament and can help diagnose it.
6 citations,
January 2018 in “Elsevier eBooks” The U.S. FDA regulates cosmetics for appearance purposes, but not as strictly as some other countries.
5 citations,
January 2010 in “The anatomical record” Most dogs have hair whorls on their chest and limbs, with shelter dogs and short-haired dogs having more chest whorls.