6 citations
,
January 2006 in “Journal of dermatological science” Runx1 helps control the KAP5 gene in human hair follicles.
109 citations
,
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.
August 2001 in “The Journal of Cell Biology” A new keratin gene was found in mice, explaining hair growth.
130 citations
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April 2003 in “Journal of Investigative Dermatology” Four specific keratins in hair follicles help understand hair structure and function.
12 citations
,
October 2018 in “Biotechnology reports” Recombinant keratin K31 makes damaged hair thicker, stronger, and straighter.
1 citations
,
September 2023 in “Animals” A new goat gene affects cashmere fiber thickness; certain variations can make the fibers coarser.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
January 2024 in “Journal of camel practice and research/Journal of Camel Practice and Research” Certain genetic variations in camels affect hair coarseness.
57 citations
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July 2000 in “Toxicology Letters” K6/ODC transgenic mice are effective for quickly identifying cancer-causing chemicals.
53 citations
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May 1988 in “Journal of Molecular Evolution”
55 citations
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June 2007 in “Journal of Statistical Planning and Inference” The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.
7 citations
,
January 2011 in “Biochemistry Research International” Hard α-keratin has a universal molecular structure with a specific superlattice arrangement.
32 citations
,
May 2022 in “Frontiers in Pharmacology” The method effectively predicts new drug uses, including potential COVID-19 treatments.
1 citations
,
January 2026 in “GigaScience” Cell Journey is a tool for better 3D visualization of cell changes over time.
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
15 citations
,
January 1993 in “DNA sequence” KRT2.13 gene is similar to KRT2.9 but not expressed in hair follicles.
January 2014 in “China Animal Husbandry & Veterinary Medicine” The KAP8-1 gene affects skin, hair follicle development, and wool quality in different sheep varieties.
November 2024 in “Journal of Investigative Dermatology” Hair evaluation is crucial for early diagnosis and management of ARCI, as hair loss often indicates severity.
50 citations
,
July 2008 in “British Journal of Dermatology” 9 citations
,
September 2013 in “Journal of Applied Animal Research” The genetic variation in the KAP13-3 gene may affect cashmere fiber traits in Liaoning goats.
24 citations
,
June 2003 in “Journal of Structural Biology” Sheet formation is key to macrofibril structure differences in wool.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
April 2024 in “Archives of Dermatological Research” The approach improves scalp surgery results by tailoring techniques to defect size and location.
December 2022 in “Research Square (Research Square)” The QuantAnts machines can find cancer markers and create CRISPR targets for them.
48 citations
,
February 2010 in “Molecular biology reports” KAP7.1 and KAP8.2 genes are crucial for cashmere quality in goats.
March 2026 in “Pediatric Dermatology” Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
January 1995 in “Expert Systems with Applications” 13 citations
,
November 2007 in “Journal of Structural Biology” Keratin heterodimers are preferred for their specific and structural advantages.
95 citations
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March 2009 in “Differentiation” Gene expression in wool follicles changes with growth cycles, offering insights into wool and human hair growth.
January 2024 in “Applied Mathematics and Nonlinear Sciences” The model helps understand alopecia areata and suggests better treatment strategies.