Hair follicles can be used to quickly assess drug effects in cancer treatment.
66 citations
,
June 2010 in “Experimental Dermatology” The hair follicle is a great model for research to improve hair growth treatments.
Machine learning helps find new uses for existing drugs, improving healthcare.
A new 3D breast tumor model helps test drug effects more accurately than traditional methods.
24 citations
,
December 2009 in “Future Medicinal Chemistry” Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.
September 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” The reconstructed skin model from hair follicles functions like human skin in processing chemicals and can be used to test ingredient safety.
8 citations
,
December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
70 citations
,
August 2019 in “European Journal of Medicinal Chemistry”
158 citations
,
January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
82 citations
,
January 1997 in “Forensic science international” Drugs can be incorporated into hair based on their chemical properties and hair pigmentation.
Different crystal forms of drugs can change their effectiveness.
2 citations
,
June 1983 in “Proc., Annu. Meet., Air Pollut. Control Assoc.; (United States)” Ingesting minoxidil can cause severe health issues, requiring urgent medical treatment.
January 2022 in “Carolina Digital Repository (University of North Carolina at Chapel Hill)”
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
September 2022 in “Journal of Theoretical Biology” Hair follicles can regenerate after radiation damage but not during a specific growth phase.
23 citations
,
December 2006 in “Evaluation and Program Planning” The document suggests a new model for evaluating public research that better captures the full value of knowledge creation and use, using PCOS research as an example.
7 citations
,
October 2024 in “Drug Delivery and Translational Research” A 4% nanoparticle concentration and 4 Hz massage improve drug delivery into hair follicles.
December 2016 in “RepositóriUM (Universidade do Minho)” Simulations of hair keratin help improve disease treatment and cosmetic products.
April 2019 in “Biometrics” The new clinical trial design is promising but needs real-world trials to test its effectiveness and possible enhancements.
11 citations
,
September 2024 in “Journal of Advanced Research” 3D-bioprinting models of pancreatic cancer could help personalize treatments but need more testing.
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
January 2025 in “Fitoterapia” Signaling pathways are key targets for developing effective drugs.
4 citations
,
September 2006 in “European Journal of Clinical Pharmacology” Finasteride doesn't affect omeprazole metabolism in Japanese people.
January 2026 in “International Journal of Women s Health” A new model helps predict treatment success in girls with early puberty.
8 citations
,
July 2012 in “Annals of biomedical engineering” Hair absorbs molecules differently based on their size, charge, and love for water, and less at higher pH; this can help make better hair products.
67 citations
,
July 2000 in “Proceedings of the National Academy of Sciences” The model accurately simulates human hair growth and hair loss patterns.
Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.
December 2023 in “International journal of statistics and probability” Blood type affects COVID-19 infection rates differently in Europe and Africa.
February 2026 in “Colloids and Surfaces A Physicochemical and Engineering Aspects” JAK inhibitors can enter the skin through hair follicles using a unique pathway.
May 2026 in “International Journal of Drug Delivery Technology” Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.