66 citations
,
June 2010 in “Experimental Dermatology” The hair follicle is a great model for research to improve hair growth treatments.
6 citations
,
August 2001 in “PubMed” The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
38 citations
,
January 2016 in “Cell Death and Disease” The TCL1 transgenic mouse model is useful for understanding human B-cell leukemia and testing new treatments.
March 2026 in “ArXiv.org” Large language models struggle with accurate clinical decision-making compared to real-world needs.
Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
9 citations
,
January 2017 in “International Journal of Trichology” No current system perfectly classifies male-pattern hair loss, indicating a need for a new system for better diagnosis and treatment.
4 citations
,
November 2020 in “Journal of Investigative Dermatology Symposium Proceedings” The Brigham Eyebrow Tool for Alopecia is a simple and reliable way to measure eyebrow hair loss.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
10 citations
,
April 2018 in “Journal of Mind and Medical Sciences” The mind and body don't directly interact; the mind acts as an interface linking abstract and physical data.
November 2012 in “Econometric Theory” Herman Bierens had a successful career in econometrics, contributed to education, and plans to continue research after retirement.
6 citations
,
February 2024 in “JAAD International” ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
January 2015 in “Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu” Using Lasswell's model can make CSR communication more effective and trusted.
67 citations
,
July 2000 in “Proceedings of the National Academy of Sciences” The model accurately simulates human hair growth and hair loss patterns.
July 2025 in “Dermatology and Therapy” Patients with fewer past treatments for alopecia areata respond better to baricitinib.
3 citations
,
August 1998 in “Dermatologic Surgery” Bobby Limmer was crucial in developing a hair transplant method that uses natural hair groupings for a more realistic look.
January 2002 in “Europe PMC (PubMed Central)” The model successfully simulates human hair growth and patterns, including hair loss types.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
1 citations
,
April 2024 in “Lasers in Surgery and Medicine” The model helps improve medical devices by showing how skin deforms under pressure.
December 2024 in “arXiv (Cornell University)” The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
1 citations
,
March 2021 in “Skin health and disease” Better hair loss models needed for research.
October 2021 in “Journal of Investigative Dermatology” The study concluded that the developed models are effective for studying hair growth mechanisms and testing new treatments.
December 2025 in “Brazilian Journal of Hair Health” The Spiral Model helps understand hair growth changes with age and identify hair problems early.
22 citations
,
February 2002 in “Journal of theoretical biology” The model showed that randomness accurately describes individual hair growth cycles and that synchronization can cause large fluctuations not seen in humans.
2 citations
,
July 2018 in “Journal of Cosmetic Dermatology” Common latent viruses might contribute to male-pattern baldness by disrupting cell processes that normally suppress hair loss-related proteins.
3 citations
,
December 2016 in “Canadian Urological Association journal” Men with more advanced male pattern baldness have a higher risk of prostate cancer and more severe disease.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
January 2024 in “Applied Mathematics and Nonlinear Sciences” The model helps understand alopecia areata and suggests better treatment strategies.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
5 citations
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November 2009 in “New Zealand journal of psychology” Future anxiety about male pattern baldness is linked to personality traits and social perceptions.