December 2025 in “JEADV Clinical Practice” These new skin treatments are safer and more effective with minimal side effects.
January 2025 in “Journal of Controlled Release” A new microneedle patch helps treat hair loss by improving drug delivery to hair follicles.
January 2025 in “Surgical & Cosmetic Dermatology” The gel may help hair regrow faster and improve skin after hair removal.
March 2024 in “Molecules/Molecules online/Molecules annual” Enzymatically extracted bear oil has more unsaturated fats and significantly increases hair growth in mice.
New pyridine compounds effectively inhibit GSK3, a diabetes treatment target.
Iron supplements may reverse premature graying in iron-deficient individuals; ingrown nails are common in diabetics with certain risk factors; topical finasteride may reduce scalp DHT as effectively as oral finasteride; monilethrix treatment is challenging but some medications can help.
26 citations
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January 2009 in “Transfusion Medicine and Hemotherapy” Donors on most medications can donate certain blood products without waiting, except for specific drugs that need a waiting period.
22 citations
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January 2006 in “International Journal of Andrology” Taking oral testosterone with finasteride or dutasteride doubles testosterone levels, and food slightly affects it.
March 2020 in “StatPearls” Medicines called 5-alpha-reductase inhibitors, like finasteride and dutasteride, are useful for treating enlarged prostate and male pattern hair loss.
May 2010 in “OPAL (Open@LaTrobe) (La Trobe University)” Vaccines and targeting TrxR variants can help prevent cancer and reduce metastasis.
1 citations
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August 2023 in “Expert opinion on drug delivery” Cedrol-loaded microneedles effectively promote hair growth.
14 citations
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January 2017 in “Elsevier eBooks” CBG may help with various medical conditions but needs more human research to confirm safety and effectiveness.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
153 citations
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November 2004 in “Current Medicinal Chemistry” The document concludes that Catalyst software is effective for drug design, identifying potent compounds for various medical conditions.
4 citations
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February 2021 in “Journal of Pharmaceutical Sciences” The model can help predict how finasteride and minoxidil work when applied to the scalp.
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.
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
3 citations
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September 2024 in “International Journal of Molecular Sciences” Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
2 citations
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November 2018 in “Indian Journal of Pharmaceutical Education” The developed model can predict effective 5-alpha-reductase enzyme inhibitors.
January 2009 in “The Chinese Journal of Modern Applied Pharmacy” The Potts-Guy model best predicts skin permeability for the tested drugs.
25 citations
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April 2021 in “npj Regenerative Medicine” Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
1 citations
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August 2012 in “Research in Pharmaceutical Sciences” December 2010 in “Cancer Prevention Research” Presurgical models can effectively and affordably screen cancer prevention agents.
20 citations
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November 2019 in “Current Opinion in Systems Biology” The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
35 citations
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June 2017 in “Pharmaceutical research” Researchers developed a model that shows hair follicles increase skin absorption of caffeine by 20%.
32 citations
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May 2022 in “Frontiers in Pharmacology” The method effectively predicts new drug uses, including potential COVID-19 treatments.
8 citations
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August 2020 in “PLOS Computational Biology” A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
5 citations
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May 2018 in “Statistics in Medicine” Model improves accuracy in predicting hair loss effects.
32 citations
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September 2018 in “Journal of pharmaceutical sciences” The model better predicts how water-loving and fat-loving substances move through the skin by including tiny pores and hair follicle paths.