April 2016 in “Studies in Conservation” Balancing display and preservation of Robert Gober's wax legs is crucial.
50 citations
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April 2010 in “Biology direct” Low androgen levels might delay prostate cancer but could lead to more aggressive, therapy-resistant cancers.
January 2011 in “Junshi yixue” A mouse model for studying scleroderma in chronic graft-versus-host disease was successfully created.
11 citations
,
October 2007 in “Journal of Investigative Dermatology” Mutations in the Sgk3 gene cause fuzzy hair in mice.
March 2008 in “British Journal of Pharmacology” Enzymes play crucial roles in metabolism, health, and disease management.
8 citations
,
August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
4 citations
,
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.
5 citations
,
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.
February 2026 in “Nature Communications” A specific group of immune and skin cells may cause chronic inflammation in atopic dermatitis.
September 2017 in “Journal of Investigative Dermatology” Activating the hexosamine pathway can improve skin health and increase hair follicle stem cells.
6 citations
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April 2017 in “Journal of Dermatological Science” Ovariectomized mice mimic postmenopausal hair loss, and estradiol helps maintain hair density.
May 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The EDAR V370A allele in East Asians likely evolved due to reliance on aquatic resources providing essential nutrients.
May 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The EDAR V370A allele in East Asians likely evolved due to reliance on aquatic resources providing essential nutrients.
1 citations
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March 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Biodegradable scaffolds help regenerate wounds and hair by activating the immune system.
4 citations
,
September 2024 in “Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics” 3D models and organoids improve liposarcoma research and therapy development.
208 citations
,
January 2013 in “Lab on a Chip” The Multi-Organ-Chip improves the growth and quality of skin and hair in the lab, potentially replacing animal testing.
44 citations
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June 2018 in “Journal of Cellular Physiology” Researchers developed a 3D model of human hair follicle cells that can help understand hair growth and test new hair loss treatments.
223 citations
,
October 2020 in “Microsystems & Nanoengineering” Microtechnology methods improve organoid production for medical research.
23 citations
,
June 2003 in “Journal of Investigative Dermatology Symposium Proceedings” Alopecia Areata is an autoimmune disease affecting hair follicles, influenced by genetic and environmental factors, with rodent models being essential for research.
15 citations
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March 2021 in “Journal of Nanobiotechnology” A new method was developed to grow and maintain human hair follicle stem cells for hair reconstruction.
March 2020 in “Central European Journal of Biology” The study found that stem cells and neutrophils are important for regenerating hair follicle structures in mice.
April 2019 in “Journal of Investigative Dermatology” The created skin model with melanoblasts improves the study of skin color and offers an alternative to animal testing.
June 2024 in “The American journal of psychiatry” Schizophrenia risk genes may affect early brain development, contributing to the disease.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
7 citations
,
March 2025 in “Aesthetic Plastic Surgery” 5 citations
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October 2023 in “International Journal on Recent and Innovation Trends in Computing and Communication” The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
Transfer learning with three neural network architectures accurately classifies hair diseases.
35 citations
,
July 2015 in “Journal of Theoretical Biology” Tooth germ shape changes due to cell growth differences and mechanical interactions.
12 citations
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May 2016 in “Experimental Dermatology” A new skin model from hair follicles is a safer, simpler alternative for skin tests.