July 2025 in “bioRxiv (Cold Spring Harbor Laboratory)” A new Wnt surrogate specifically targets the Frizzled7 receptor, promoting organoid formation and hair growth.
5 citations
,
November 2022 in “Genetics selection evolution” Low-coverage sequencing is a cost-effective way to find genetic factors affecting rabbit wool traits.
January 2008 in “American journal of clinical dermatology”
1 citations
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May 2001 in “Hair transplant forum international” The document's conclusion cannot be summarized because the content is not accessible or understandable.
April 2023 in “Journal of Investigative Dermatology” Being allergic to linalool, a common fragrance ingredient, might contribute to developing frontal fibrosing alopecia.
119 citations
,
November 2014 in “Trends in Cell Biology” Fibroblast growth factor receptor signaling controls cell development and repair, and its malfunction can cause disorders and cancer, but it also offers potential for targeted therapies.
January 2026 in “AppliedMath” Pattern mode isolation improves the reliability and predictability of Turing patterns.
September 2015 in “Dermatologic Surgery” Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
5 citations
,
July 2019 in “Applied statistics/Journal of the Royal Statistical Society. Series C, Applied statistics” Case-only trees and random forests improve predictions of treatment effects in clinical trials.
February 2003 in “Dermatology Times” Pay attention to early warnings.
February 2026 in “Pharmaceuticals” KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
August 2024 in “Clinical and Experimental Dermatology” DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
5 citations
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February 2015 in “Dermatologica Sinica” Computer-aided imaging system helps measure balding area in female pattern hair loss.
1 citations
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September 2004 in “Physica D: Nonlinear Phenomena” The model can predict website market shares by identifying competition among them.
Hair feels different when touched and rubs together in various ways.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
FGF5 spliceosomes inhibit rabbit hair growth by affecting gene expression.
12 citations
,
September 2012 in “Computer Graphics Forum” The method improves hair animation from video by combining image techniques and simulations.
January 2026 in “Archives of Dermatological Research”
2 citations
,
November 2024 in “Journal of Nonlinear Science” Domain shape greatly affects pattern formation.
8 citations
,
December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
March 2026 in “International Journal of Science Strategic Management and Technology” WomenCare helps predict PCOD risk in women to encourage early medical consultation.
6 citations
,
November 2012 in “Hair transplant forum international” The Laxometer helps make hair transplants with many grafts safer.
May 2009 in “South African Family Practice” The author believes that giving medical conditions official names can sometimes overwhelm or scare patients.
23 citations
,
December 2006 in “Evaluation and Program Planning” The document suggests a new model for evaluating public research that better captures the full value of knowledge creation and use, using PCOS research as an example.
45 citations
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May 2022 in “Biomedicines” Analyzing follicular fluid can help predict and improve outcomes for women with PCOS undergoing fertility treatments.
15 citations
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January 2018 in “Journal of Cutaneous Medicine and Surgery” It's important to understand the differences between FMF and PFM in children.
November 2022 in “The journal of investigative dermatology/Journal of investigative dermatology” Linalool in personal care products may contribute to hair loss by damaging hair follicle stem cells and triggering harmful immune responses.