June 1967 in “Journal of Cellular Physiology” The 3D hair follicle model improves understanding of hair growth and drug testing.
November 2024 in “Journal of Investigative Dermatology” Microfluidic models improve testing for aging, wound healing, and oral tissue, reducing animal testing.
3 citations
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June 2023 in “Frontiers in Medicine” A new model uses specific blood markers to predict if children's hair loss will return.
June 2023 in “Frontiers in Bioengineering and Biotechnology” The conclusion is that accurately replicating the complexity of the extracellular matrix in the lab is crucial for creating realistic human tissue models.
December 2025 in “The AAPS Journal” Finasteride and dutasteride's effects are mainly due to target binding saturation and slow enzyme turnover.
1 citations
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October 2019 in “Medicina UPB” Multiple treatment comparison meta-analyses help doctors make better decisions by comparing different interventions.
Cialis and Finasteride could be repurposed to treat aggressive melanoma.
6 citations
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August 2001 in “PubMed” The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
July 2023 in “Research Square (Research Square)” Skin's uneven surface and hair follicles affect its stress and strain but don't change its overall strength, and help prevent the skin from peeling apart.
60 citations
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December 1998 in “Clinical Pharmacology & Therapeutics” Both drugs lower DHT levels, with GI198745 being more effective.
September 2015 in “The European physical journal. E, Soft matter and biological physics/The European physical journal. E, Soft matter” Longer time setting curls overnight leads to better curl retention.
March 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The N-K GM Series offers a free, effective solution to eliminate aflatoxin and cancer, improving health and life expectancy.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
4 citations
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August 2019 in “Journal of Dermatology” The conclusion is that balancing cost and carbon emissions in hybrid power systems is crucial, especially when high reliability is needed, but the model needs to consider all device efficiencies and distribution losses.
6 citations
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September 2025 in “Scientific Reports” Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
6 citations
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January 2024 in “Journal of Cancer” A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
6 citations
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February 2015 in “Dermatologic Surgery” The document concludes that a new training model could improve dermatology residents' skills in nail procedures and lead to more nail cases being treated by dermatologists.
3 citations
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June 2017 in “Methods” Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
November 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Scientists made a mouse that shows how a specific protein in the skin changes and affects hair growth and shape.
2 citations
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December 2022 in “Archives of Dermatological Research” The study created a new system to classify Asian men's hairlines to help with hair loss treatment and cosmetic procedures.
August 2023 in “Skin Research and Technology” Measuring bald patch size can help grade hair loss severity, with photograph-based evaluation being more reliable.
January 2024 in “Wiadomości Lekarskie” Kinematic alignment in knee surgery often requires smaller femoral components than mechanical alignment.
February 2026 in “The European Physical Journal E” Root hair growth mechanics depend on turgor pressure and cell wall properties.
1 citations
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August 2012 in “Research in Pharmaceutical Sciences”
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
March 2014 in “LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)” The reading activities used images effectively but didn't develop critical thinking about power and context.
September 2015 in “Dermatologic Surgery” Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.