22 citations
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January 2012 in “Mediators of inflammation” This review discusses the potential benefits of nonantibiotic macrolides for treating inflammatory skin disorders and reports no new clinical results.
16 citations
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April 2007 in “Journal of Medical Primatology” This study reports that a 14-year-old female rhesus monkey with alopecia universalis was found to have a T-cell-mediated autoimmune disease similar to human alopecia areata universalis.
10 citations
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November 2015 in “American Journal of Primatology” This study found that rhesus macaques with inhibited or anxious temperaments had less alopecia, suggesting temperament may influence hair loss in these animals.
9 citations
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November 2022 in “Applied sciences” This review explores marine algae-derived phenolic compounds and their potential cosmeceutical benefits, but reports no new clinical results.
8 citations
,
February 2024 in “Matrix Biology” 7 citations
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March 2000 in “CRC Press eBooks”
6 citations
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September 2024 in “BMC Pulmonary Medicine” This study demonstrated that CEP may effectively treat pulmonary fibrosis by inhibiting fibroblast activation through regulating macrophage M2 polarization and decreasing fibrosis-associated factors, suggesting a new avenue for future research in this area.
6 citations
,
April 2025 in “Plastic and Aesthetic Research” This review highlights that biomaterial properties can be designed to modulate macrophage activity, potentially reducing foreign body responses and enhancing tissue healing in regenerative medicine.
6 citations
,
August 2024 in “Biomacromolecules” This study introduces a novel in vitro model for clubfoot fibrosis to enable high-throughput drug screening and found that while the model increased collagen deposition, the antifibrotic drug minoxidil effectively inhibited the expression of collagen cross-linking enzymes.
5 citations
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April 2024 in “Heliyon” In this study, the researchers found that the chemical composition and color of the brown seaweed *Saccharina latissima* varied significantly depending on the harvesting period, site, and cultivation method, suggesting that environmental conditions play a key role in these variations.
5 citations
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December 2022 in “arXiv (Cornell University)” This study used a deep learning approach that successfully predicts alopecia, psoriasis, and folliculitis with a 2D convolutional neural network, achieving a training accuracy of 96.2% and validation accuracy of 91.1%.
5 citations
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July 2017 in “Molecular Medicine Reports” This study observed that ethanol extracts of Lygodium japonicum spores significantly reduced inflammatory responses in LPS-stimulated murine macrophages in vitro by negatively regulating p38 MAPK and NF-κB.
3 citations
,
January 2023 in “European Journal of Information Technologies and Computer Science” This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.
3 citations
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September 2020 in “Journal of Threatened Taxa” This paper highlights the distribution and potential economic and medicinal values of aquatic macrophytes in northern Bihar's wetlands, emphasizing their importance to local livelihoods and the risks of habitat degradation.
3 citations
,
November 2017 in “International Journal of Pharmacy and Pharmaceutical Sciences” This study identified new oxidative derivatives of finasteride, including a newly discovered metabolite, by using the fungus Macrophomina phaseolina.
2 citations
,
June 2024 in “Frontiers in Immunology” In this study, researchers developed a 3D in-vitro system for generating functional AT-resident macrophages without cell sorting, providing a valuable tool to study their differentiation and function in various physiological and pathological conditions.
2 citations
,
July 2011 in “International Journal of Dermatology” This case report describes three instances of eosinophilic pustular folliculitis lacking visible pustules, which histopathology confirmed involve eosinophilic infiltration around hair follicles.
1 citations
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October 2025 in “Endocrinology and Metabolism” This review discusses 'vibe coding', a new approach that allows clinicians with minimal coding skills to utilize machine learning tools for medical research by using natural language directives to generate and refine code through AI-driven platforms.
1 citations
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August 2024 in “Pharmaceuticals” This study found that goat placenta extract, when combined with PEGylated liposomes and microspicule gel, significantly promoted hair regrowth in patients experiencing hair loss due to chemotherapy by enhancing hair cell proliferation without causing skin irritation over a 12-week application period.
1 citations
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November 2023 in “Plant and Cell Physiology” This paper reports on various AI and human augmentation technologies being applied in plant biology to enhance data processing, improve research efficiency, and enable the discovery of complex biological phenomena that are challenging for humans to perceive or quantify unaided.
1 citations
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January 2010 This review discusses the use of trichoscopy for diagnosing mimickers of patterned hair loss and assessing donor sites before hair transplant surgery, and reports no new clinical results.
This review highlights that surface mechanical regulation can program macrophage behavior through specific mechanical cues on material surfaces, potentially advancing immunotherapies and regenerative medicine by enabling precise control over macrophage functions.
March 2026 in “Microchemical Journal”
In this study of captive rhesus macaques, social hair plucking was related to kinship, showed characteristics of both prosocial and aggressive behaviors, and was associated with alopecia and hair cortisol concentrations in females.
June 2026 in “Journal of Applied Animal Welfare Science” This study found that social hair plucking in captive rhesus macaques is linked to alopecia and possibly relates to stress in females.
This study observed that in captive rhesus macaques, social hair plucking is linked to alopecia and has kinship patterns similar to grooming, suggesting it may be socially influenced, though the health impacts and stress hormone (cortisol) changes involved remain uncertain.
May 2026 in “International Journal of Drug Delivery Technology” This study reports that using machine learning models, particularly XGBoost and Random Forest, can accurately predict PCOS phenotypes based on non-invasive data, with cycle length as the most significant predictor.
January 2026 in “Frontiers in Immunology” This review highlights icariin’s potential to regulate macrophages in varying conditions, discussing its effects on macrophage polarization, metabolism, and disease mechanisms, and noting the development of delivery systems to enhance its therapeutic impact.
April 2025 in “Journal of Ethnopharmacology”