April 2024 in “Frontiers in endocrinology (Lausanne)” In this meta-analysis, researchers found that melatonin did not affect primary hair follicles or litter size in goats but was positively correlated with secondary follicle growth, suggesting potential relevance for studying hair growth mechanisms and human alopecia.
February 2024 in “Clinical, Cosmetic and Investigational Dermatology” This study reports a solid causal relationship between increased serum levels of ApoB, LDL, and VLDL and an elevated risk of androgenic alopecia.
January 2024 in “Journal of Cosmetic Dermatology” Microneedling combined with other treatments significantly improves hair growth in people with hair loss and is safe.
January 2024 in “Journal of Cosmetic Dermatology” This study found that men who smoke are more likely to develop androgenetic alopecia and experience disease progression compared to non-smokers.
July 2023 in “International journal of trichology” This review concluded that the double-spin PRP preparation method may be more effective than the single-spin technique for treating androgenetic alopecia.
January 2023 in “Journal of cosmetic dermatology” This study concluded that fractional laser therapy, alone or combined with minoxidil or cortisol, effectively treated alopecia areata, showing better outcomes than the drugs alone, without increasing adverse effects, though effectiveness did not significantly differ from similar physical treatments.
November 2021 in “Frontiers in Genetics” This study found that a new FAW-FS algorithm improved recognition of depression in patients with androgenic alopecia, and comprehensive psychological interventions positively impacted their rehabilitation outcomes.
17 citations
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May 2025 in “MedComm” This review highlights how organoid technology is transforming precision medicine by summarizing its development and applications in modeling diseases, testing drug efficacy, and tailoring patient-specific treatments, despite current challenges in standardization and ethical considerations.
5 citations
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January 2025 in “BMC Medical Informatics and Decision Making” This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.
5 citations
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January 2025 in “Burns & Trauma” This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.
1 citations
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October 2025 in “BMC Genomics” This study found that both natural and environmental selection have significantly influenced the goat genome, revealing genetic loci tied to adaptation, fitness, and productive traits, more so than artificial selection, across various goat populations.
August 2026 in “Journal of Genome Biotechnology and Genetics” This review found that while forensic DNA phenotyping and health applications for pigmentation genetics show potential, factors like phenotype definition and population diversity present challenges to accurate genotype-to-appearance predictions.
April 2026 in “Biomolecules” This review highlights recent advancements in molecular understanding and treatment approaches for PCOS, including innovative drug delivery systems and AI-driven precision medicine, but provides no new clinical results.
January 2026 in “Archives of Dermatological Research” January 2026 in “Regenerative Biomaterials” This study highlights that hydrogel formulations unexpectedly prolonged healing in trials, pointing to a need for design based on detailed pathophysiological insights rather than empirical methods, and suggests technologies like AI materials optimization and 3D bioprinting to aid their clinical use for cancer survivors.
August 2023 in “Frontiers in Endocrinology” This study identified novel mitochondrial DNA variations in PCOS patients from Pakistan, which may serve as genetic predisposition markers, highlighting especially the potential pathogenicity of frameshift mutations in the MT-ND2 gene.
12 citations
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November 2023 in “Medicine” This study used bibliometric analysis to evaluate global research on AI applications in dermatology, identifying 406 relevant papers and highlighting current priorities such as machine learning for wound progression, AI in teledermatology, and applications for skin diseases.
90 citations
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July 2014 in “Conservation Physiology” This study found that hair cortisol concentration in free-ranging brown bears is influenced by handling methods, body condition, and potentially both short- and long-term stressors.
66 citations
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May 2014 in “Conservation Physiology” This study found that lower salmon availability was associated with higher stress hormone levels in grizzly and black bears, influencing their physiological responses and competitive behaviors.
52 citations
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January 2021 in “Journal of Thoracic Oncology” Effective vaccines and treatments are crucial for long-term COVID-19 control.
2 citations
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November 2022 in “Frontiers in Pharmacology” This study systematically documented the ethnobotanical and ethnomedicinal knowledge from traditional healers in Addis Ababa, identifying 81 medicinal plants, including the endangered Echinops kebericho, used primarily for treating skin and general diseases.
170 citations
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September 2020 in “Viruses” This review highlights that drug repositioning offers a cost-effective alternative to traditional drug discovery, especially for treating orphan and resistant diseases like COVID-19, by repurposing existing drugs such as Hydroxychloroquine and Remdesivir.
89 citations
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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.
26 citations
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May 2020 in “JCI Insight” In this study, single-cell sequencing revealed clonal expansions of CD4+ and CD8+ T cells in murine and human alopecia areata, supporting the development of predictive models for human disease.
23 citations
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April 2025 in “Journal of Clinical Medicine” This study explored the role of AI technologies in plastic and reconstructive surgery, highlighting their potential across preoperative, intraoperative, and postoperative stages, while also identifying challenges like data privacy and regulatory issues that must be addressed for successful implementation.
19 citations
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August 2022 in “Forensic Science International Genetics” This study developed and validated tissue-specific and age prediction models using epigenetic markers, achieving up to 83.69% correct classification for tissue origin and a median absolute error of ±3.66 years for age estimation.
15 citations
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November 2024 in “Pharmaceutics” This review discusses how recent advancements in computational and lab-based methods have enhanced peptide drug discovery, noting the efficiency and cost benefits over traditional approaches and the potential for targeting difficult protein interactions, including protein degradation using proteolysis-targeting chimeras.
15 citations
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June 2020 in “Processes” This study suggests that the emulsion extract of brevilin A from Centipeda minima may stimulate hair regrowth in individuals with mild to moderate vertex balding by inhibiting JAK3.
13 citations
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April 2024 in “International Journal of Molecular Sciences” This literature review highlights the importance of understanding the mechanisms behind the gradual mosaic loss of the Y chromosome (mLOY) in men, its association with various health conditions like cardiovascular diseases and cancer, and its potential as a marker for age inference.
11 citations
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April 2023 in “Frontiers in Pharmacology” This study reported that the Computational Analysis of Novel Drug Opportunities platform effectively uses integrated biological data, including side effects and pathways, to generate potential drug candidates for colon cancer and migraine disorders.