45 citations
,
August 2023 in “Trends in Cell Biology” Controlling cellular changes can enable safe rejuvenation without cancer risk.
October 2024 in “BMC Genomics” Understanding hair follicle development can help improve cashmere quality.
3 citations
,
November 2022 in “European Journal of Human Genetics” New models predict male pattern baldness better than old ones but still need improvement.
10 citations
,
August 2022 in “Bulletin of Mathematical Biology” Boundary conditions change how patterns form in Turing systems.
January 2024 in “Applied Mathematics and Nonlinear Sciences” The model helps understand alopecia areata and suggests better treatment strategies.
6 citations
,
June 2015 in “Journal of theoretical biology” The model showed that immune system guardians and the cytokine interferon-γ are key in alopecia areata progression.
January 2024 in “Wiadomości Lekarskie” pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
18 citations
,
June 1999 in “Statistical Methods in Medical Research” The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.
September 2025 in “Matics Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)” Random Forest Regression is best for predicting baldness risk.
January 2024 in “Research Square” The model helps understand alopecia areata and suggests treatment strategies.
November 2025 in “SHILAP Revista de lepidopterología” Animal and mathematical models help understand and develop treatments for alopecia areata.
92 citations
,
December 2012 in “Current opinion in genetics & development” Turing patterns are now recognized as important in developmental biology.
The model accurately predicts hair loss by analyzing various factors.
5 citations
,
May 2018 in “Statistics in Medicine” Model improves accuracy in predicting hair loss effects.
January 2002 in “Europe PMC (PubMed Central)” The model successfully simulates human hair growth and patterns, including hair loss types.
28 citations
,
March 2010 in “Histochemistry and Cell Biology” Different markers are found in stem cells of the scalp's hair follicle bulge and the surrounding skin.
9 citations
,
October 2014 in “Clinical and Experimental Dermatology” Temporary hair loss can occur after brain AVM treatment but usually regrows in 8 weeks.
October 2020 in “Cirugía y cirujanos” Obesity is linked to more severe lower urinary tract symptoms.
37 citations
,
October 2015 in “European Journal of Human Genetics” Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
March 2024 in “Arquivos de Ciências da Saúde da UNIPAR” Onyx® embolization effectively treats facial arteriovenous malformations with minimal complications.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
December 2010 in “Cancer Prevention Research” Presurgical models can effectively and affordably screen cancer prevention agents.
December 2025 in “The AAPS Journal” Finasteride and dutasteride's effects are mainly due to target binding saturation and slow enzyme turnover.
March 2024 in “Research Square” The model helps understand alopecia areata and suggests ways to improve treatment by targeting immune issues.
67 citations
,
July 2000 in “Proceedings of the National Academy of Sciences” The model accurately simulates human hair growth and hair loss patterns.
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.
79 citations
,
July 2022 in “Sensors” Machine learning can effectively predict type 2 diabetes risk.
November 2020 in “Journal of Pharmaceutical Sciences” The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
5 citations
,
February 2022 in “Biophysical journal” The model shows that filament flexibility and amino acid differences affect how fast intermediate filament proteins assemble.
The models can help find better inhibitors for conditions like baldness and prostate disorders.