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  • Predictive Modeling of Immunogenicity to Botulinum Toxin A Treatments for Glabellar Lines.
    Plastic and reconstructive surgery 2025 Rahman E 🆕 신규 PMID: 39287793 ↗

    TL;DRBy identifying the main predictors of NAb development and differentiating the immunogenic potential of BoNT-A products, the research provides insights for clinicians in optimizing treatment strategies and highlights the …

    …NT-A products, examining the factors influencing NAb development using advanced machine-learning techniques. [METHODS] The authors analyzed data from randomized controlled tria…

    키워드: Machine-learning (초록)
  • Applying machine learning to safe vascular anastomosis.
    JPRAS open 2025 Umezawa H 🟢 PMC 🆕 신규 PMID: 40678267 ↗

    TL;DRThe potential of machine learning on exoscope images to generate algorithms that promote safe microsurgical anastomosis is shown and how the recent emergence of Python code, Google Colaboratory™, and machine-learning mod…

    [BACKGROUND] Machine-learning technology is currently being introduced into the medical field and has been sh…

    키워드: Machine-learning (초록)