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42 citations
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July 2021 in “Frontiers in Cell and Developmental Biology” Oral mucosa heals with minimal scarring, offering insights for scarless wound healing.
44 citations
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October 2023 in “The Journal of Physical Chemistry C” Phosphates strongly attach to cerium dioxide nanoparticles, showing specific spectral patterns.
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December 2020 in “Gene” ANXA1 influences hair growth in mice through the EGF signaling pathway.
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Exosome therapies improve skin, hair, and healing but face challenges like cost and regulation.
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May 2022 in “Journal of Advanced Research” Enhancing glycolysis in mesenchymal stromal/stem cells boosts their immune functions and therapy potential.
75 citations
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September 2015 in “Acta biomaterialia” Alkylation of human hair keratin allows for adjustable drug release rates in hydrogels for medical use.
65 citations
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February 2018 in “The Plant Journal” PLDζ2 and NPC4 have different roles in lipid changes and root hair growth in Arabidopsis under low phosphate, with PLDζ2 reducing root hair growth and NPC4 promoting it.
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January 2021 in “BioMed Research International” PRP treatments need standardization for consistent results.
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August 2022 in “Frontiers in Oncology” Photobiomodulation therapy helps manage cancer treatment side effects but needs more research for optimization.
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March 2024 in “Small Science” Single-cell encapsulation shows promise for medical use but faces production challenges.
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November 2024 in “Anais Brasileiros de Dermatologia” Exosomes show promise in skin and hair treatments, but more research is needed to ensure their safety and effectiveness.
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November 2023 in “International Journal of Nanomedicine” Nanofiber scaffolds show promise for improving nerve healing.
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January 2021 in “Acta Cirúrgica Brasileira” Dipotassium glycyrrhizinate helps wounds heal faster, especially in the early stages.
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September 2024 in “International Journal of Molecular Sciences” Polymers can be designed to mimic natural cell environments for medical uses.
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September 2024 in “International Journal of Molecular Sciences” Mathematical modeling helps understand and predict the MAPK cell signaling pathway.