Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
The model accurately predicts hair loss by analyzing various factors.
November 2025 in “Frontiers in Animal Science” A new model accurately predicts water intake in hair sheep using dry matter intake.
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.
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.
1 citations
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March 2019 in “International Journal of Cosmetic Science” The model predicts hair breakage based on key hair properties and helps product developers.
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
April 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
3 citations
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June 2023 in “Frontiers in Medicine” A new model uses specific blood markers to predict if children's hair loss will return.
1 citations
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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.
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.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
AI can improve alopecia areata diagnosis with high accuracy.
6 citations
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March 2021 in “International Journal of Pharmaceutics” Optimal long-acting finasteride injection dose found: 16.8 mg, effective for one month.
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%.
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
1 citations
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November 2023 in “BMC chemistry” Tadalafil and Finasteride may help treat aggressive melanoma.
November 2025 in “SHILAP Revista de lepidopterología” Animal and mathematical models help understand and develop treatments for alopecia areata.
Cialis and Finasteride could be repurposed to treat aggressive melanoma.
6 citations
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January 2024 in “Journal of Cancer” A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
July 2025 in “Archives of Toxicology” The new skin model can predict how chemicals might cause skin allergies.
4 citations
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March 2024 in “Forensic Sciences Research” Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
2 citations
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March 2023 in “Research Square (Research Square)” Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.
January 2009 in “The Chinese Journal of Modern Applied Pharmacy” The Potts-Guy model best predicts skin permeability for the tested drugs.
37 citations
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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.