8 citations
,
December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
1 citations
,
April 2022 in “International Journal of Women's Dermatology” Classifying curl patterns might help doctors assess and treat hair loss better.
13 citations
,
February 2025 in “Nature Communications” A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
172 citations
,
December 1994 in “The Journal of Dermatologic Surgery and Oncology” This hair transplant method improves cosmetic results for hair loss.
21 citations
,
October 2013 in “Molecular Biology of the Cell” The protein CCN2 controls hair growth by affecting hair follicle formation and stem cell activity in mice.
April 2023 in “Journal of Investigative Dermatology” The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
January 2021 in “Research Square (Research Square)” Long noncoding RNAs may help understand rabbit hair follicle density.
The number of CAG repeats in the androgen receptor gene doesn't significantly affect female pattern hair loss in the Han Chinese population.
11 citations
,
July 2014 in “Journal of The Royal Society Interface” A new method accurately estimates clone sizes in cells without considering time.
A new image-based method improves accuracy in measuring hair loss in mice.
1 citations
,
January 2018 in “Indian journal of otolaryngology and head and neck surgery” The new surgery method successfully healed the patient's nasal wound without complications.
11 citations
,
January 2014 in “Dermatology” Certain SPINK5 gene mutations are common in Israeli families with Comèl-Netherton syndrome.
July 2023 in “Frontiers in veterinary science” Certain long non-coding RNAs are important for controlling hair growth cycles in sheep.
1 citations
,
October 2000 in “Journal of Investigative Dermatology” The Thr1022Ala variant in the hairless gene is not a disease-causing mutation.
March 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The N-K GM Series offers a free, effective solution to eliminate aflatoxin and cancer, improving health and life expectancy.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
January 2013 in “Heilongjiang xumu shouyi” Researchers cloned a gene from Xinjiang fine-wool sheep, finding it very similar to other sheep and somewhat similar to goats, humans, and rabbits.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
24 citations
,
March 2022 in “Genome biology” scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
May 2007 in “Archives of Plastic Surgery” The Frechet flap technique effectively hides scalp surgery scars with good results and minimal issues.
15 citations
,
May 2009 in “Chemical Physics Letters” A new method accurately measures molecular movement without complex modeling.
4 citations
,
November 2021 in “Journal of Cosmetic Dermatology” QR678 and QR678 Neo treatments, combined with corticosteroid injections, work better for alopecia areata than corticosteroid injections alone.
2 citations
,
September 2020 in “Hair transplant forum international” A new tool makes hair transplant surgeries faster by creating multiple cuts in one go.
January 2007 in “Journal of Southwest University” The ND1 gene of the Asian black bear Sichuan subspecies is similar to other bear species.
32 citations
,
May 2022 in “Frontiers in Pharmacology” The method effectively predicts new drug uses, including potential COVID-19 treatments.
Machine learning can accurately predict hair loss early, improving treatment options.
October 2021 in “Aesthetic Plastic Surgery” New techniques in hair restoration surgery can lead to better hair alignment.
January 2026 in “Stem Cell Research & Therapy” ASLNC168501 can help treat hair loss by restoring hair follicle stem cell function.
6 citations
,
December 2018 in “Australasian Journal of Dermatology” The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.
September 2025 in “Journal of Cutaneous Medicine and Surgery”