February 2024 in “Scientific reports” This study identified four ferroptosis-related genes, SLC40A1, LCN2, CREB5, and SLC7A11, as potential diagnostic markers for alopecia areata, revealing reduced expression in affected patients compared to controls, with a predictive model showing high accuracy in differentiating the condition.
September 2023 in “Journal of the American Academy of Dermatology” The model can effectively identify good quality skin images but needs more testing for real-world use.
April 2018 in “Journal of Investigative Dermatology” In laboratory models of human skin, this study found that treating with resveratrol significantly increased glutathione levels, potentially enhancing the skin's antioxidant defenses.
89 citations
,
April 2023 in “Forensic Science International Genetics” This review summarizes advancements in forensic DNA phenotyping for appearance, ancestry, and age prediction from crime scene samples, reporting no new research findings but highlighting areas needing further research and validation.
March 2024 in “International journal of molecular sciences” In a mouse model study, transcutaneous auricular vagus nerve stimulation (taVNS) significantly reduced depigmentation in vitiligo, potentially through mechanisms that regulate oxidative stress and inflammation, indicating taVNS's promise as a therapeutic approach for this skin disorder.
30 citations
,
July 2022 in “Scientific Reports” This study developed a model using cardiovascular radiomics to estimate biological heart age, finding obesity and other health factors strongly correlated with accelerated heart aging.
16 citations
,
January 2010 in “Drug Metabolism and Pharmacokinetics” This study developed a pharmacokinetic/pharmacodynamic model for finasteride, concluding that finasteride's nonlinear pharmacokinetics are likely due to its saturable binding to 5alphaR2.
March 2026 in “Oral Presentations” This study identified hemoglobin level as the strongest biological predictor of fatigue in systemic lupus erythematosus patients, highlighting its association with disease activity and systemic inflammation.
1 citations
,
August 2016 in “Hanbang an'i'bi'in'hu pibu'gwa haghoeji” In this study using lab models, YangHyulEum Gami-Bang (YHEG) was associated with promoting hair growth and inhibiting factors that contribute to hair loss.
September 2026 in “Advanced Materials Technologies” In a mouse model study, researchers developed a methacrylated hyaluronic acid-based hydrogel microneedle patch co-loaded with finasteride and a carbon monoxide-releasing molecule for androgenetic alopecia, which showed better hair regrowth and safety compared to traditional treatments, offering an innovative approach with minimized systemic side effects.
May 2021 in “The journal of investigative dermatology/Journal of investigative dermatology” This research discusses a zebrafish model showing that nicastrin deficiency leads to tyrosinase-dependent depigmentation and melanophore cell death, suggesting implications for studying skin depigmentation disorders.
August 2026 in “Journal of Nanobiotechnology” In testosterone-induced AGA mouse models, this study found that a dual-drug-loaded cationic nanoemulsion of minoxidil and finasteride enhanced follicle-associated retention, supporting hair regeneration while reducing systemic absorption and showing good skin compatibility, indicating a promising approach for androgenetic alopecia treatment.
39 citations
,
December 2018 in “Methods in molecular biology” This review discusses the data resources and computational models used in drug repositioning, highlighting their role in discovering unknown drug mechanisms and reports no new empirical results.
This study developed a convolutional neural network model for non-invasive diagnosis of androgenetic alopecia using dermoscopic images, demonstrating potential accuracy and scalability while highlighting the importance of model interpretability for clinical use.
7 citations
,
April 2024 in “Life Medicine” This study discusses the challenges in translating organoid models from laboratory settings to clinical and commercial applications, emphasizing the need for engineering approaches like environmental recapitulation and matrix engineering to bridge this gap.
1201 citations
,
January 2010 in “Science” This review discusses stem cells in the hair follicle, bone marrow, and intestinal epithelium and introduces a model where quiescent and cycling stem cells may coexists in "zoned" configurations.
82 citations
,
July 2011 in “Journal of Neuroscience” In this study, ethanol was found to enhance GABAergic neurosteroid production and inhibit long-term potentiation in rat hippocampal slices via unblocked NMDA receptor activation, effects reversible by specific inhibitors.
12 citations
,
June 2019 in “Psychoneuroendocrinology” This study found that in rodent models, the ability of D1 dopamine receptor activation to impair sensory gating is facilitated by 5α-reductase type 1, which produces allopregnanolone.
12 citations
,
April 2019 in “Scientific Reports” This study found that HMGB1 enhanced hair growth by stimulating PGE2 production in human dermal papilla cells, suggesting a potential therapeutic target for alopecia treatment.
11 citations
,
February 2022 in “Scientific Reports” This study found that CD26+ fibroblasts are crucial for effective extracellular matrix production and achieving rapid epidermal and dermal homeostasis in human tissue-engineered skin substitutes transplanted onto rodents.
7 citations
,
February 2023 in “Plastic & Reconstructive Surgery” This study found that racial minorities face higher costs for unplanned hospital visits after surgery despite controlling for insurance, highlighting health care disparities and suggesting revised payment models as a potential mitigation strategy.
5 citations
,
June 2024 in “Free Radical Biology and Medicine” This review highlights that current in vitro models often fail to replicate the physiological oxygen levels experienced by different skin cell types, which could affect redox states and functions, potentially accelerating skin aging.
August 2019 in “bioRxiv (Cold Spring Harbor Laboratory)” This study developed the CATNIP computational model, which uses biological and chemical information to successfully identify drug repurposing opportunities for various conditions, including Parkinson’s disease and Type 2 Diabetes.
January 2018 in “Elsevier eBooks” This chapter reviews Hutchinson–Gilford progeria syndrome as a model for studying aging but presents no new findings, covering its genetic basis, clinical features, and existing treatments.
January 2016 in “mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)” This thesis presents a new scientific approach using specific models to gain insights into psoriasis and eczema, highlighting a molecular classifier that improves diagnostic accuracy and predicts therapeutic response for these conditions.
March 2011 in “European Urology Supplements” CEC levels may be a useful marker for predicting prostate cancer progression.
1 citations
,
September 2024 in “arXiv (Cornell University)” This study reviews methods to ensure the reliability of machine learning models in medical imaging, focusing on bias detection, data drift assessment, and accuracy estimation without ground truth labels to enhance integration into clinical settings.
8 citations
,
August 2020 in “PLOS Computational Biology” This study presents a computational approach, CATNIP, which repurposes drugs using only their biological and chemical information, predicting new uses like adrenergic uptake inhibitors for Parkinson's and vandetanib for Type 2 Diabetes.
1 citations
,
December 2022 in “Biomolecules & therapeutics” This study found that a long-term astrocyte culture model can effectively study astrocyte senescence and suggests minoxidil as a potential candidate to regulate brain aging by normalizing dysregulated gene expression in aged astrocytes.
125 citations
,
March 2017 in “Micromachines” This review highlights recent advancements in microfluidics for 3D tissue model generation and discusses its applications in tissue engineering and high-throughput drug screening without reporting new experimental results.