Comparative examination of the chemistry and biology of AI-driven gold NPs in Theranostics: New insights into biosensing, bioimaging, genomics, diagnostics, and therapy.

Journal: Nanomedicine : nanotechnology, biology, and medicine
Published Date:

Abstract

Integrating artificial intelligence (AI) with nanomedicine is transforming Theranostics, driving advances in biosensing, bioimaging, genomics, diagnostics, and treatment. This review highlights the latest advancements in AI-driven nanomedicine, focusing on its transformative impact on healthcare. AI-integrated biosensors offer ultra-sensitive, real-time biomaterial detection, reducing false positives by 40 %. In bioimaging, AI algorithms improve resolution to 10 nm, particularly in gold nanoparticles (AuNP)-based imaging. AuNPs, leveraging surface plasmon resonance (SPR), act as contrast agents for early disease detection. AI accelerates genomic analysis, increasing sequencing accuracy by 30 %, enhancing biomarker identification for personalized medicine. AI powered diagnostics ensure rapid, non-invasive pathogen detection within 30 min with 95 % accuracy. AI-driven drug delivery systems enable precise, controlled release, reducing side effects by 20 %. This review explores AI-enhanced AuNPs in biosensing, bioimaging, genomics, diagnostics, and therapy while addressing challenges like scalability, biocompatibility. AI's role in Nanomedicine underscores its potential to revolutionize personalized medicine and future healthcare innovations.

Authors

  • Donya Esmaeilpour
    Center for Nanotechnology in Drug Delivery, School of Pharmacy, Shiraz University of Medical Science, Shiraz 71345-1583, Iran.
  • Ehsan Nazarzadeh Zare
    School of Chemistry, Damghan University, Damghan 36716-45667, Iran.
  • Mahnaz Hassanpur
    Center for Theoretical Physics, Khazar University, 41 Mehseti Street, Baku AZ1096, Azerbaijan; Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, 45,137-66,731, Iran.
  • Farooq Sher
    Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, United Kingdom.
  • Mika Sillanpää
    Department of Chemical Engineering, School of Mining, Metallurgy and Chemical Engineering, University of Johannesburg, PO Box 17011, Doornfontein, 2028 South Africa.