1 citations
,
January 2022 in “Electronic Imaging” A new method accurately captures and renders hair color for virtual reality and hair dye use.
5 citations
,
November 2020 in “Forensic Science International Genetics” Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.
May 2023 in “Elsevier eBooks” The document's conclusion cannot be provided because the document is not readable or understandable.
5 citations
,
August 2011 in “Dermatologic Surgery” Artificial dermis used for hair transplantation can reconstruct scalp defects effectively without the need for tissue expansion.
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.
4 citations
,
April 2024 in “Complex & Intelligent Systems” NLKFill improves high-resolution image inpainting by effectively capturing image details and enhancing speed.
5 citations
,
September 2016 in “Security science and technology” DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.
April 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.
26 citations
,
February 2016 in “Respiratory Medicine” Auto-antibody testing is a useful but not definitive tool in diagnosing interstitial lung diseases, and using a specific algorithm could make testing more cost-effective.
5 citations
,
April 2021 in “Biomedicines” The engineered skin substitute helped grow skin with hair on mice.
4 citations
,
December 2024 in “Protein & Cell” MultiKano accurately identifies cell types in complex data better than existing methods.
17 citations
,
May 2025 in “MedComm” Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
The model accurately predicts hair loss by analyzing various factors.
February 2025 in “Dermatology and Therapy” Alopecia areata incognita causes sudden hair loss but usually improves with topical steroids.
1 citations
,
February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
9 citations
,
November 2008 in “Journal of Cosmetic Dermatology” Artificial hair implantation is generally safe and can restore hair when other treatments fail, but some patients may experience side effects.
The robotic system for hair restoration surgery works well, giving similar results to manual techniques after 9 months.
74 citations
,
January 2020 in “IEEE Access” ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
The system can automatically identify different hair and scalp conditions using machine learning.
January 2021 in “arXiv (Cornell University)” Self-supervised learning improves medical image classification accuracy.
1 citations
,
November 2016 in “Congenital Anomalies” Get head MRI for babies with achondroplasia early, use free immunoglobulin light chains to detect certain neurodevelopmental disorders, and video calls work for speech therapy in patients with facial anomalies.
17 citations
,
April 2023 in “Aging” CNGA3, GLUD1, and SIRT1 are promising targets for treating aging and glioblastoma.
24 citations
,
January 2008 in “KARGER eBooks” The document concludes that ongoing research using animal models is crucial for better understanding and treating Alopecia Areata.
A new easy-to-use biosensor was made to detect androgen receptor mRNA, which could help diagnose related conditions quickly.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
3 citations
,
April 2025 in “Nature Communications” GIANT improves brain imaging by using genetics to better map brain regions.
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
June 2025 in “Jurnal Bumigora Information Technology (BITe)” Naive Bayes algorithm can help predict hair loss risk early.
September 2014 in “Hair transplant forum international” Automated devices are beneficial for hair restoration.
26 citations
,
January 2019 in “Experimental Dermatology” Researchers created early-stage hair-like structures from skin cells, showing how these cells can self-organize, but more is needed for complete hair growth.