Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
October 2013 in “DOAJ (DOAJ: Directory of Open Access Journals)”
August 2016 in “Journal of Investigative Dermatology”
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January 2012 in “CINECA IRIS Institutial research information system (University of Pisa)” 1 citations
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October 2025 in “Micromachines” Portable point-of-care testing can improve quick and accurate genetic disorder detection.
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July 2005 in “Journal of The American Academy of Dermatology” Using both vertical and transverse sections gives a better diagnosis of alopecia than using one method alone.
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June 2017 in “PLoS ONE” A 6-group hair classification is more reliable for drug testing than an 8-group system.
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December 2022 in “BMC Genomics” The Msx2 gene affects feather development in Hungarian white geese and a specific gene variation could indicate feather quality.
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April 2003 in “Journal of Dermatological Science” Gene differences may affect baldness treatment response in Korean men.
March 2012 in “Society for Endocrinology BES 2012” A new method was developed to analyze certain hormones and drugs in human blood efficiently.
106 citations
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March 2013 in “Nature Communications” A new genetic region, 17q21.31, is linked to higher ovarian cancer risk.
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April 1989 in “Alcoholism Clinical and Experimental Research” The ethanol patch test reliably identifies ALDH phenotype.
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May 2012 in “British Journal of Dermatology” Recognizing specific features of African-American hair can help diagnose hair loss conditions.
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April 2024 in “Animals” Inner Mongolia cashmere goats have the lowest inbreeding, aiding future breeding and conservation.
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February 2023 in “International journal of molecular sciences” Body hairs can be used in forensic science and toxicology like scalp hair.
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September 2024 in “Scientific Reports” Non-invasive swabbing is as effective as cutting hair for collecting scalp hair bacteria.
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July 2015 in “oURspace (University of Regina)” The method effectively grouped tweets into categories without knowing the number of groups beforehand.
March 2024 in “Dermatology and therapy (Internet)” Genetic factors could lead to personalized treatments for hair loss.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
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November 2012 in “The journal of investigative dermatology/Journal of investigative dermatology” Korean and Caucasian men with male pattern baldness have different hair steroid levels.
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June 2016 in “DOAJ (DOAJ: Directory of Open Access Journals)” The Enterobacter isolate AMS1-S8 is effective for removing selenium from wastewater.
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May 2003 in “PubMed” Small amounts of DNA can be found in the hair shaft, especially near the root, but it decreases with hair treatments and washing.
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April 2001 in “Experimental Dermatology” Using single dermal papillae is unreliable for analyzing androgen metabolism in hair follicles.
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January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
June 2020 in “Journal of Investigative Dermatology” Hair shaft malformation contributes to Central Centrifugal Cicatricial Alopecia.
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April 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The conclusion is that analyzing RNA from skin oils is a promising way to understand skin diseases.
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March 2010 in “British Journal of Dermatology” Genetic marker rs12558842 strongly linked to male hair loss.
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April 2022 in “Journal of pharmaceutical and biomedical analysis” The method can measure multiple steroids in human hair to study long-term steroid metabolism, especially in newborns and children.