8 citations
,
December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
The KRT84 gene is linked to better wool quality in Gansu Alpine Fine-wool sheep.
January 2011 in “The Chinese Journal of Dermatovenereology” Shorter GGN repeats in the androgen receptor gene are linked to androgenetic alopecia.
March 2026 in “Mendeley Data” rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
KY19382 helps to regrow hair and create new hair follicles.
October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
April 2023 in “Journal of Investigative Dermatology” The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
May 2018 in “Dermatologic Surgery” 60 citations
,
January 2021 in “BMC Genomics” The study mapped genetic variations in sheep, linking them to traits like milk production and growth.
April 2023 in “Research Square (Research Square)” A specific RNA helps increase the growth of skin cells in Liaoning cashmere goats by working with a protein to boost a growth-related gene.
1 citations
,
January 2017 in “Springer eBooks” The document explains how hair loss patterns in men and women, known as Androgenetic alopecia, are classified using the Hamilton-Norwood system for men and the Ludwig grade system for women.
3 citations
,
June 2023 in “Frontiers in Medicine” A new model uses specific blood markers to predict if children's hair loss will return.
June 2020 in “The journal of investigative dermatology/Journal of investigative dermatology” Scientists found new and known long non-coding RNAs in mouse hair follicle stem cells that may be important for stem cell function and could be targets for cancer treatment.
November 2023 in “Advances and Applications in Statistics” AI can effectively predict COVID-19 mortality risk using patient data.
The naked mutation in mice causes hair loss and helps identify keratin genes.
9 citations
,
February 2023 in “Genes” lncRNAs influence cashmere fiber traits like diameter and color in goats.
1 citations
,
May 2025 in “BMC Genomics” lncRNAs may help control cashmere goat hair growth by responding to light changes.
The system can automatically identify different hair and scalp conditions using machine learning.
May 2024 in “JCI insight” A variant in the ADAM17 gene causes hair loss by increasing protein degradation through TRIM47.
May 2013 in “Proceedings of SPIE” Researchers created a system that accurately aligns laser beams automatically.
1 citations
,
May 2015 in “Dermatologic Therapy” The microstrip technique for hair transplantation is effective and discreet for patients needing fewer than 1500 grafts.
32 citations
,
May 2022 in “Frontiers in Pharmacology” The method effectively predicts new drug uses, including potential COVID-19 treatments.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
March 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The "Danti Original Source" method can reverse androgenetic alopecia.
October 2021 in “QJM: An International Journal of Medicine” Changes in NRF2 levels may contribute to hair loss in Egyptian men.
1 citations
,
October 2000 in “Journal of Investigative Dermatology” The Thr1022Ala variant in the hairless gene is not a disease-causing mutation.
2 citations
,
December 2018 in “International Journal of Dermatology” New grading scale accurately measures hair loss severity and treatment effectiveness.
August 2024 in “Current Issues in Molecular Biology” Key genes and RNAs related to hair growth in sheep were identified, aiding future breeding improvements.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
33 citations
,
January 1991 in “The Journal of Dermatologic Surgery and Oncology” Incisional slit grafting for hair transplantation gives natural-looking results and has a high success rate.