October 2025 in “Communications Medicine” Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
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.
January 2013 in “Belarusian State Pedagogical University repository (Belarusian State Pedagogical University)” 4 citations
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October 2017 in “Journal of Mind and Medical Sciences” The brain may create four separate minds, each with its own mental reality.
16 citations
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April 2017 in “ACM Transactions on Graphics” Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.
January 2023 in “Figshare” Patients with advanced breast cancer prioritize quality of life, overall survival, and progression-free survival in treatment decisions.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
12 citations
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August 2022 in “Ecotoxicology and Environmental Safety” A new method accurately detects bisphenols and parabens in human hair.
August 2025 in “International Journal of Research in Dermatology” Better standardization and transparency in statistical reporting are needed to improve hair care research quality.
6 citations
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December 2018 in “Australasian Journal of Dermatology” The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.
21 citations
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January 2009 in “Indian journal of dermatology, venereology, and leprology” A new method can better diagnose eruptive vellus hair cysts.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
5 citations
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April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
November 2025 in “International Journal of Apllied Mathematics” Numerical methods help analyze alopecia drugs' properties effectively.
February 2026 in “Cureus” Two methods reliably measure scalp area and hair count.
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.
1 citations
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March 2015 in “Oriental Journal of Chemistry/Oriental journal of chemistry” A new method accurately measures minoxidil and aminexil in drugs.
September 2024 in “Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi” XGBoost can effectively diagnose PCOS with 87% accuracy.
May 2022 in “Journal of Cosmetic Dermatology” The authors suggest a method for hair transplantation in fibrosing alopecia pattern distribution to improve treatment outcomes and cover bald areas.
10 citations
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November 2017 in “Letters in drug design & discovery” Researchers identified promising inhibitors for the BRD4 protein, including finasteride and amentoflavone.
9 citations
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
December 2010 in “Cancer Prevention Research” Presurgical models can effectively and affordably screen cancer prevention agents.
August 2025 in “JURNAL PEMBELAJARAN DAN BIOLOGI NUKLEUS” Alopecia in bats is more common in urban areas due to habitat conditions.
August 2024 in “Journal of the National Medical Association” ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
5 citations
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January 2012 in “Dermatology” Adapted classification better assesses male pattern hair loss and its link to heart disease.
April 2025 in “British Journal of Dermatology” Age, sex, BMI, menopause, and specific genes affect hair density in East Asians.
89 citations
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April 2023 in “Forensic Science International Genetics” Forensic DNA Phenotyping can now better predict appearance, ancestry, and age from DNA, but more research is needed for precise police use.
July 2024 in “Heart Lung and Circulation” Age, diabetes, and cardiogenic shock at PCI are key factors linked to in-hospital death in STEMI patients with hypertension.