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Adesina Meredith

Department of Nanotechnology and Organic Chemistry, China

Publications
  • Commentary   
    Utilizing artificial intelligence and computational modeling in Nanomedicine
    Author(s): Adesina Meredith*

    The integration of artificial intelligence (AI) and computational modeling in nanomedicine has emerged as a transformative approach to address the complexities and challenges associated with developing effective nanomedical solutions. This abstract provides an overview of the diverse applications and benefits of AI and computational modeling in nanomedicine. AI techniques, including machine learning and deep learning, enable accelerated drug discovery and design by analyzing molecular structures and predicting interactions with biological targets. Additionally, AI-driven models optimize targeted drug delivery by tailoring nanocarrier properties and predicting pharmacokinetics and biodistribution. Computational modeling elucidates nanomaterial-biological interactions, guiding rational design and personalized medicine through molecular dynamics simulations, quantitative structure-ac.. View more»

    DOI: 10.35248/2157-7439.24.15.712

    Abstract HTML PDF