4 citations
,
December 2022 in “The journal of investigative dermatology/Journal of investigative dermatology” This article discusses the role of human scalp hair follicles in neurohormone production and their model potential for studying neuroendocrine signaling, reporting no experimental results.
262 citations
,
May 2017 in “Nanomedicine” This review examines recent advancements in electrospun nanofibers for wound healing applications, but reports no new experimental results, highlighting their potential in sutures, dressings, and skin regeneration.
181 citations
,
January 2019 in “Cell” In this research, authors found that skin-resident ILCs regulate sebaceous gland function and microbial balance, emphasizing an immune-epithelia system that supports host-microbe symbiosis.
116 citations
,
April 2022 in “Science Translational Medicine” This study found that the hydrophilic PTK-UR foam with EG7 repeats significantly improved wound healing in porcine skin wounds compared to other scaffolds, suggesting potential for synthetic biomaterial applications.
62 citations
,
February 2016 in “ACS Applied Materials & Interfaces” This study found that 3D microtissue models of dermal papilla cells can enhance the ability to induce hair-follicle neogenesis in vivo, offering potential for controlled cell production in follicle regeneration.
55 citations
,
November 2019 in “Cellular and Molecular Gastroenterology and Hepatology” This study found that oral biotin supplementation improved outcomes in a mouse model of inflammatory bowel disease by reducing inflammatory cytokine production and enhancing intestinal barrier integrity, suggesting potential therapeutic benefits for IBD patients.
50 citations
,
September 2011 in “Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids” This review examines the role of retinoic acid synthesis in hair follicles and sebaceous glands, focusing on its localization and function during normal and disease states, but reports no new results.
June 2023 in “JMIR dermatology” This study highlights the importance of clearly differentiating between gender identity and biological sex in dermatology research to ensure respectful treatment of patients and improve study accuracy, especially considering skin disease disparities and the underrepresentation of transgender and nonbinary individuals.
February 2008 in “Experimental dermatology” This article reviews potential pathomechanisms of vitiligo, emphasizing membrane alterations involving cholesterol and cardiolipin, but reports no new clinical findings.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” In this study, deep learning models accurately predicted gene expression in whole slide images of colorectal cancer, with convolutional neural networks outperforming transformer and graph-based approaches in spatial RNA pattern prediction.
256 citations
,
October 2013 in “Nature Communications” This study demonstrates that bioengineered lacrimal gland germs can successfully develop and restore tear production and ocular surface protection in a mouse model with lacrimal gland dysfunction.
July 2026 in “Research Data Repository, Duke University” This study observed that DMAP scaffolds in a full-thickness wound model promote dermal appendage regeneration by activating humoral immunity, specifically through B cell activation and antibody production, even when adaptive immune cells' infiltration is restricted.
April 2019 in “Journal of Investigative Dermatology” This study observed that simvastatin promoted hair regrowth in a mouse model of alopecia areata by reducing inflammatory markers and T cell proliferation, partly through disruption of isoprenoid metabolite production.
July 2025 in “Scientific Reports” In this study, researchers identified six novel prognostic biomarkers for bladder cancer and developed a predictive model that effectively stratifies patients into high-risk and low-risk groups based on immune cell infiltration differences and gene expression.
This review suggests that self-organizing tissues like organoids could revolutionize material production by enabling sustainable and complex biological systems, such as spider silk glands, to surpass current synthetic designs, though challenges in model species expansion and production scaling remain.
3 citations
,
December 2024 in “Biomolecules & Therapeutics” This study found that Tanshinone I and Tanshinone IIA from Salviae Miltiorrhizae Radix inhibited Nox activity heightened by testosterone in a mouse model, reducing H₂O₂ production and cell apoptosis, and reversing testosterone-induced hair growth suppression, suggesting their potential as treatments for androgenetic alopecia.
January 2026 in “International Journal of Unani and Integrative Medicine” This study evaluated the antiulcer potential of Glycyrrhiza glabra and found that its hydroalcoholic extract demonstrated dose-dependent protective effects against various ulcer models, comparable to standard drugs like omeprazole and cimetidine, by enhancing mucosal defenses and reducing stomach acid production.
16 citations
,
May 2023 in “Journal of the American Statistical Association” This study applied a novel Cox regression subsampling method to massive datasets, demonstrated using UK-biobank colorectal cancer data, effectively reducing computation time and memory usage while building a risk-prediction model under certain conditions involving right-censored and potentially left-truncated data with rare events.
106 citations
,
April 2010 in “ACS Nano” This study found that about 80% of known fullerene-binding proteins rank in the top 10% of scorers for C60 docking sites, confirming the accuracy of the predictive model used.
28 citations
,
November 2020 in “Fluid Phase Equilibria” In this study, researchers measured the solubility of Minoxidil in supercritical CO₂ under various temperature and pressure conditions and created models to estimate solubility based on different predictive approaches.
7 citations
,
January 2012 This study used artificial neural networks to predict hair loss by analyzing factors like gender and zinc deficiency, suggesting neural networks may effectively model hair loss prediction.
July 2025 in “Preprints.org” This study observed distinct plasma miRNA profiles in alopecia areata, identifying several miRNAs downregulated in both mild and severe forms; machine learning models demonstrated strong predictive accuracy, and kinase inhibitors were suggested as promising therapeutic targets based on pathway analysis.
August 2025 in “Stem Cells” This study developed a molecular systems architecture to map the complex interactions between mesenchymal stromal cells and their microenvironment, providing a framework for future predictive models that could enhance therapeutic strategies and reduce adverse effects.
6 citations
,
January 1996 in “Endocrine-related Cancer” In this study, combining flutamide with finasteride showed additive effects in reducing tumor and prostate growth in a mouse model predictive of androgen-sensitive prostate cancer.
1 citations
,
January 2014 in “Journal of Dermatology and Venereology” In this study, a plant extract from Northeastern Turkey demonstrated potential for preventing hair loss by downregulating inflammation and androgen production and promoting hair growth in HaCaT cell models.
May 2026 in “Zenodo (CERN European Organization for Nuclear Research)” In this study, researchers conducted a comprehensive analysis of seven Ashwagandha seed exosome lots and found that treatment with these exosome-like nanovesicles can up-regulate VEGF-A production and promote human hair growth in an ex vivo model.
April 2018 in “Journal of Investigative Dermatology” This study found that the protein Fetuin A, when injected into fetal wounds that typically heal without scarring, caused scar formation and increased collagen production in fibroblasts in an animal model.
May 2026 in “Zenodo (CERN European Organization for Nuclear Research)” In this research, lipidomic, proteomic, and metabolomic analyses of exosomes from seven Ashwagandha seed batches revealed that Ashwagandha-derived exosome-like nanovesicles can up-regulate VEGF-A production and promote hair growth in human models tested outside the body.
October 2025 in “Biomedical Materials” In this review, the authors examined the role of the extracellular matrix in cancer progression and highlighted how decellularization techniques are used to create biomimetic tumor models, discussing the potential for personalized and predictive cancer treatments using advanced biomaterials combined with AI and machine learning.
May 2026 in “Stem Cell Research & Therapy” In this study, researchers identified KRT6A as a potentially important gene in mesenchymal stem cell-derived treatments for alopecia areata, revealing its role as a diagnostic marker, predictor of disease severity, and a protective factor, with overexpression alleviating hair loss in experimental models.