176 citations
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April 2011 in “Science” Hair stem cell regeneration is controlled by signals that can explain different hair growth patterns and baldness.
147 citations
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September 2001 in “Computer graphics forum” The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
1 citations
,
September 2024 in “arXiv (Cornell University)” Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
Skin cells can naturally limit the growth of cancerous changes by balancing cell renewal and differentiation.
19 citations
,
August 2022 in “Forensic Science International Genetics” The model accurately predicts age from saliva and buccal cells for forensic use.
28 citations
,
May 2012 in “Experimental Dermatology”
60 citations
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December 1998 in “Clinical Pharmacology & Therapeutics” Both drugs lower DHT levels, with GI198745 being more effective.
December 2016 in “RepositóriUM (Universidade do Minho)” Simulations of hair keratin help improve disease treatment and cosmetic products.
4 citations
,
February 2021 in “Journal of Pharmaceutical Sciences” The model can help predict how finasteride and minoxidil work when applied to the scalp.
2 citations
,
November 2024 in “Journal of Nonlinear Science” Domain shape greatly affects pattern formation.
6 citations
,
March 2024 in “Journal of Clinical Laboratory Analysis” Certain genetic variations in IGF2BP2 and IGFBP3 are linked to a higher risk of PCOS.
1 citations
,
May 2018 in “Psychology, Health & Medicine” The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.
4 citations
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December 2004 A new method accurately predicts the flight path of unguided projectiles.
April 2026 in “International Journal of Engineering Research and Science & Technology” The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
Moles may stop growing because of cell cooperation, not just because of aging cells.
August 2024 in “Journal of the National Medical Association” ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
January 2026 in “Human Mutation” T cell subsets are crucial in kidney cancer, and a new model predicts patient outcomes using key genes.
52 citations
,
October 2012 in “Journal of Dermatological Science” The document concludes that mouse models are crucial for studying hair biology and that all mutant mice may have hair growth abnormalities that require detailed analysis to identify.
April 2013 in “The Journal of Urology” Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.
September 2018 in “Apollo (University of Cambridge)” Translation levels actively determine keratinocyte cell fate.
1 citations
,
April 2024 in “Lasers in Surgery and Medicine” The model helps improve medical devices by showing how skin deforms under pressure.
8 citations
,
December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
23 citations
,
June 2003 in “Journal of Investigative Dermatology Symposium Proceedings” Alopecia Areata is an autoimmune disease affecting hair follicles, influenced by genetic and environmental factors, with rodent models being essential for research.
July 2024 in “Heart Lung and Circulation” Age, diabetes, and cardiogenic shock at PCI are key factors linked to in-hospital death in STEMI patients with hypertension.
September 2023 in “JP Journal of Biostatistics” The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
The model explains how mammal ear hair cells respond to sound and adapt.
A machine-learning test using hair can help detect autism early in infants.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
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.