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.
A hat with sensors can measure scalp moisture well, helping with hair care.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
February 2024 in “Scientific reports” Four genes are potential markers for hair loss condition alopecia areata, linked to a specific type of cell death.
Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
10 citations,
February 2016 in “Anais Brasileiros de Dermatologia” Topical minoxidil can cause excessive hair growth in children, so use it carefully.
232 citations,
January 2016 in “BMC Bioinformatics” The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
215 citations,
March 2011 in “Clinical Cancer Research” Sorafenib is effective in treating Desmoid Tumor/Deep Fibromatosis.
155 citations,
June 2009 in “International Journal of Dermatology” Lichen planus is a skin condition that can resolve on its own, is linked to hepatitis C, and increases the risk of skin cancer.
55 citations,
May 2014 in “Journal of feline medicine and surgery” Combining systemic and topical treatments, guided by weekly fungal cultures, effectively treats cat ringworm.
39 citations,
December 2018 in “Methods in molecular biology” The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
20 citations,
September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
16 citations,
December 2019 in “Animals” Overexpressing Tβ4 in goats' hair follicles increases cashmere production and hair follicle growth.
8 citations,
January 2021 in “Pharmaceutics” Nanoporous silica entrapped lipid-drug complexes significantly improve the solubility and absorption of drugs that don't dissolve well in water.
5 citations,
April 2024 in “bioRxiv (Cold Spring Harbor Laboratory)” Aging skin shows thinner layers, fewer hair follicles, and new biomarkers like increased space between cells and smaller sebaceous glands.
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
4 citations,
December 2022 in “Frontiers in cell and developmental biology” Zebrafish larvae are used to study and find treatments for ear cell damage because they are easier to observe and test than mammals.
1 citations,
October 2023 Syntax-based neural networks can match Transformers in handling unseen sentences.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
1 citations,
December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
1 citations,
January 2023 in “Advances in animal and veterinary sciences” Most cats with dermatophytosis had fungal infections, mainly caused by M. canis.
1 citations,
January 2022 in “Advances in animal and veterinary sciences” Ketoconazole cream effectively treats fungal skin infections in cats.
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.
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
April 2018 in “Journal of Ayurvedic and herbal medicine” Computational methods can speed up and improve the development and safety of herbal drugs.
December 2023 in “International journal of research in dermatology” Most pregnant women experience common skin changes like linea nigra and stretch marks.
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.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.