5 citations,
July 2019 in “Applied statistics/Journal of the Royal Statistical Society. Series C, Applied statistics” Case-only trees and random forests improve predictions of treatment effects in clinical trials.
20 citations,
September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
2 citations,
September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
A hat with sensors can measure scalp moisture well, helping with hair care.
3 citations,
May 2018 in “Experimental Dermatology” Young HS patients often have other physical and mental health issues, and research on HS covers a wide range of topics including genetics, triggers, treatments, and the need for more data.
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.
139 citations,
December 2020 in “Cell Stem Cell” Male hormones affect COVID-19 severity and certain drugs targeting these hormones could help reduce the risk.
7 citations,
June 2020 in “Experimental dermatology” Researchers found that certain lipids, especially vitamin D3, are lower in prematurely grey hair than in pigmented hair.
3 citations,
May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
3 citations,
February 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” Adult esophageal cells can start to become like skin cells, with a key pathway influencing this change.
1 citations,
December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
1 citations,
September 2017 in “Journal of Investigative Dermatology” Blocking a specific enzyme can reduce the negative impact of stress hormones on hair growth cells.
February 2024 in “bioRxiv (Cold Spring Harbor Laboratory)” Tandem repeats significantly influence hair color, especially darker shades, across different ancestries.
December 2023 in “Advances in economics, management and political sciences” Consumers prefer general hair care products over those specifically for hair loss.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
January 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” Mothers have more hair proteins than their children, with age-related differences in protein patterns, and some proteins in hair could indicate early childhood development.
February 2019 in “bioRxiv (Cold Spring Harbor Laboratory)” The gene Prss53 affects hair shape and bone development in rabbits.
September 2017 in “Journal of Investigative Dermatology” The Siah1 and Siah2 genes are active in mouse skin development and hair growth, especially right after birth.
September 2017 in “Journal of Investigative Dermatology” Certain miRNAs might be involved in a hair loss condition called frontal fibrosing alopecia and could possibly help in its diagnosis.
September 2017 in “Journal of Investigative Dermatology” The study found that sweat glands normally suppress immune responses, but this is disrupted in certain skin diseases, possibly contributing to their development.
September 2017 in “Journal of Investigative Dermatology” Researchers created human cells that can turn into sebocytes, which may help study and treat skin conditions like acne.
Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
Ovol2 is crucial for hair growth and skin healing by controlling cell movement and growth.
September 2017 in “Journal of Investigative Dermatology” Finasteride helps female-pattern hair loss.
The model accurately classifies hair conditions with 97% accuracy.
18 citations,
January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
19 citations,
August 2022 in “Forensic Science International Genetics” The model accurately predicts age from saliva and buccal cells for forensic use.
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.
8 citations,
July 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” Certain microRNAs might help identify and understand Frontal Fibrosing Alopecia.