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.
1 citations
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January 2018 in “ScholarWorks (Central Washington University)” Stress and PCOS together may increase depression and anxiety-like behaviors.
December 2025 in “The AAPS Journal” Finasteride and dutasteride's effects are mainly due to target binding saturation and slow enzyme turnover.
April 2023 in “JMIR Research Protocols” The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
3 citations
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November 2022 in “European Journal of Human Genetics” New models predict male pattern baldness better than old ones but still need improvement.
October 2008 in “Australasian Journal of Dermatology” Medical practitioners need to understand basic statistics to properly evaluate clinical trials and avoid unethical designs.
May 2025 in “Nonlinear Analysis Real World Applications” Reducing CD8+ T cell growth can stabilize alopecia areata.
January 2026 in “Therapeutics” SCUBE3 is a potential target for cancer and alopecia treatment but is challenging to target due to its varied roles.
5 citations
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March 2022 in “Frontiers in Endocrinology” A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.
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.
January 2019 in “International journal of medical biochemistry/International journal of medical biochemistry :”
1 citations
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December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
June 1967 in “Journal of Cellular Physiology” The 3D hair follicle model improves understanding of hair growth and drug testing.
April 2019 in “Molecular Informatics” Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
5 citations
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April 2024 in “Biology” Improving human hair follicle models is crucial for better hair loss treatments.
April 2018 in “Journal of Investigative Dermatology” The research found that blocking a gene called NEMO can potentially prevent harmful effects of aging at the cellular level.
December 2025 in “Brazilian Journal of Hair Health” The Spiral Model helps understand hair growth changes with age and identify hair problems early.
August 2017 in “Journal of Pharmacy Practice and Research” Risk analysis is important for safely adjusting pharmaceutical formulas while maintaining their quality and effectiveness.
1 citations
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March 2021 in “Skin health and disease” Better hair loss models needed for research.
September 1972 in “大会学術講演梗概集. 構造系” The document explains common hair disorders and the basics of hair anatomy and life cycle.
109 citations
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January 2011 in “Frontiers in Systems Neuroscience” Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
110 citations
,
August 2011 in “Journal of Visualized Experiments” 3D skin models better mimic human skin and melanoma progression than older methods.
5 citations
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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.
4 citations
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August 1999 in “Clinical Cosmetic and Investigational Dermatology” January 2025 in “Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences))” A new model accurately predicts water intake in hair sheep using dry matter intake.
November 2023 in “Advances and Applications in Statistics” AI can effectively predict COVID-19 mortality risk using patient data.
June 2018 in “SPIRE - Sciences Po Institutional REpository” Biomedical innovations could extend human lifespan, but may impact pension systems.
August 2025 in “Stem Cells” A systems biology approach helps improve mesenchymal stromal cell therapies by mapping interactions and identifying treatment targets.
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.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.