December 2024 in “arXiv (Cornell University)” The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
6 citations
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February 2016 in “The journal of investigative dermatology/Journal of investigative dermatology” A new model using mice with human hair follicles helps better understand hair loss from chemotherapy.
1 citations
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August 2025 in “Frontiers in Bioengineering and Biotechnology” A 3D skin model helps study wound healing better than traditional methods.
2 citations
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January 2014 in “British Journal of Medicine and Medical Research” The body and mind should be seen as interconnected for better medical understanding and treatment.
A skin model using hair and skin cells can mimic human skin for research.
42 citations
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January 2014 in “Cold Spring Harbor Perspectives in Medicine” Hair growth is influenced by various body and external factors, and neighboring hairs communicate to synchronize regeneration.
April 2026 in “Scientific Reports” MSF-VMDNet accurately segments skin cancer images better than existing methods.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
July 2025 in “Archives of Toxicology” The new skin model can predict how chemicals might cause skin allergies.
September 1972 in “大会学術講演梗概集. 構造系” The document explains common hair disorders and the basics of hair anatomy and life cycle.
18 citations
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June 1999 in “Statistical Methods in Medical Research” The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.
July 2026 in “Journal of King Saud University - Computer and Information Sciences” The new method improves alopecia areata lesion detection, aiding diagnosis and treatment.
August 2020 in “Textile research journal” The model helps understand how wool fiber structure affects its strength and flexibility.
32 citations
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April 2024 in “Nature Biotechnology” July 2025 in “Journal of Investigative Dermatology” Tissue-engineered skin substitutes can model junctional epidermolysis bullosa and may help develop gene therapy.
July 2026 in “International Journal of Advanced Research in Science Communication and Technology” BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
January 2026 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
January 2026 in “Dermatologic Therapy” Current models for studying alopecia are inadequate, and more human-like systems are needed.
May 2026 in “International Journal of Technology in Education and Science” The AI system accurately classifies hair loss types and explains its decisions.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
The model accurately predicts hair loss by analyzing various factors.
November 2024 in “Communities in ADDI (University of the Basque Country)” Antisense oligonucleotides show promise for treating Myotonic Dystrophy type I.
1 citations
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June 2026 in “Disease Models & Mechanisms” Three-dimensional culture platforms improve hair loss drug testing.
January 2023 in “Burns & Trauma” The study concluded that the new wound model can be used to evaluate skin regeneration and nerve growth.
85 citations
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December 2017 in “Developmental Biology” Mammals might fail to regenerate not because they lack the right cells, but because of how cells respond to their surroundings, and changing this environment could enhance regeneration.
January 2012 in “Hacettepe University Institutional Repository (hacettepe.edu.tr)” Microbeam Radiation Therapy is effective, but using a linear accelerator reduces its benefits.
December 2022 in “Geriatrics” Good communication helps predict successful aging in older Indonesians.
January 2015 in “Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu” Using Lasswell's model can make CSR communication more effective and trusted.
8 citations
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January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.