March 2025 in “Journal of Burn Care & Research” The hemostatic net improves skin graft success and reduces complications.
Type II spiral ganglion neurites avoid high concentrations of laminin and fibronectin.
12 citations
,
September 2012 in “Computer Graphics Forum” The method improves hair animation from video by combining image techniques and simulations.
6 citations
,
January 2021 in “Journal of the mechanics and physics of solids/Journal of the Mechanics and Physics of Solids” The model shows that factors like follicle shape and stiffness are key for hair growth and anchoring.
21 citations
,
October 2013 in “Molecular Biology of the Cell” The protein CCN2 controls hair growth by affecting hair follicle formation and stem cell activity in mice.
7 citations
,
January 2016 in “Methods in molecular biology” Neurons from hair follicles can help repair damaged nerves.
9 citations
,
June 2012 in “Joint Conference on Lexical and Computational Semantics” The gel effectively thickens eyelashes and eyebrows without side effects.
November 2024 in “Journal of Investigative Dermatology” Microfluidic models improve testing for aging, wound healing, and oral tissue, reducing animal testing.
June 2023 in “Frontiers in Bioengineering and Biotechnology” The conclusion is that accurately replicating the complexity of the extracellular matrix in the lab is crucial for creating realistic human tissue models.
A new CNN model can detect Alopecia Areata with 98% accuracy.
67 citations
,
September 2017 in “Journal of Open Innovation Technology Market and Complexity” Corporations should adopt open innovation with community ideas to address social needs and empower communities.
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
February 2023 in “Default Digital Object Group” September 2015 in “Fluids and Barriers of the CNS” Three skull models were found most useful for testing hydrocephalus valve programming.
35 citations
,
July 2022 in “Frontiers in Integrative Neuroscience” Formononetin may help protect the brain and treat neurological diseases.
4 citations
,
November 2023 in “ArXiv.org” A new method improves the accuracy and reliability of language models by up to 42%.
April 2023 in “Journal of clinical and translational science” 13 citations
,
November 2023 in “International Journal of Nanomedicine” Nanofiber scaffolds show promise for improving nerve healing.
November 2021 in “International journal of research - granthaalayah” The document suggests that human hair has electrical charges because of a gap in nerve cell coverage that affects electromagnetic radiation.
7 citations
,
January 2012 Neural networks can effectively predict hair loss.
16 citations
,
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.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
42 citations
,
January 2014 in “Cold Spring Harbor Perspectives in Medicine” Hair growth is influenced by various body and external factors, and neighboring hairs communicate to synchronize regeneration.
December 2023 in “International journal of statistics and probability” Blood type affects COVID-19 infection rates differently in Europe and Africa.
October 2024 in “Zeitschrift für angewandte Mathematik und Physik” 1 citations
,
April 2024 in “Lasers in Surgery and Medicine” The model helps improve medical devices by showing how skin deforms under pressure.
September 2023 in “Journal of Fluid Mechanics” The homogenization theory effectively describes how flow behaves differently across asymmetric membranes.
March 2026 in “Zenodo (CERN European Organization for Nuclear Research)” March 2026 in “Zenodo (CERN European Organization for Nuclear Research)”
April 2019 in “Molecular Informatics” Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.