The model accurately predicts hair loss by analyzing various factors.
March 2026 in “Mendeley Data” rwSALT provides precise hair regrowth measurement from scalp photos.
December 2022 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
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.
AI can improve alopecia areata diagnosis with high accuracy.
December 2012 in “http://isrctn.org/>”
2 citations
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December 2018 in “Novos Estudos Jurídicos” Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
February 2026 in “International journal of intelligent engineering and systems” The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
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.
Finasteride's benefits outweigh its risks.
38 citations
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February 2006 in “British Journal of Clinical Pharmacology” The study found that combining different databases gives a better estimate of drug side effects in hospitals.
4 citations
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July 2024 in “Radiotherapy and Oncology” A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.
April 2017 in “The Journal of urology/The journal of urology” Finasteride use is linked to a lower risk of bladder cancer, especially in Caucasians and Hispanics.
July 2025 in “Dermatology and Therapy” Patients with fewer past treatments for alopecia areata respond better to baricitinib.
September 2023 in “Journal of The American Academy of Dermatology” The document's conclusion cannot be provided because the content is not available.
The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
3 citations
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October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” scINSIGHT helps understand single-cell gene expression better than current methods.
Finasteride treatment increased blood volume and reduced vessel leakiness in beagle prostates.
8 citations
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December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
September 2015 in “Dermatologic Surgery” Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
November 2023 in “Advances and Applications in Statistics” AI can effectively predict COVID-19 mortality risk using patient data.
June 2022 in “Value in Health” Adding Baricitinib for severe alopecia areata will have a small impact on a health plan's budget.
1 citations
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March 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
1 citations
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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.
A hat with sensors can measure scalp moisture well, helping with hair care.
2 citations
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April 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
May 2026 in “International Journal of Technology in Education and Science” The AI system accurately classifies hair loss types and explains its decisions.