Artificial intelligence for personalized nanomedicine; from material selection to patient outcomes.

Journal: Expert opinion on drug delivery
PMID: 39645588

Abstract

INTRODUCTION: Artificial intelligence (AI) is changing the field of nanomedicine by exploring novel nanomaterials for developing therapies of high efficacy. AI works on larger datasets, finding sought-after nano-properties for different therapeutic aims and eventually enhancing nanomaterials' safety and effectiveness. AI leverages patient clinical and genetic data to predict outcomes, guide treatments, and optimize drug dosages and forms, enhancing benefits while minimizing side effects. AI-supported nanomedicine faces challenges like data fusion, ethics, and regulation, requiring better tools and interdisciplinary collaboration. This review highlights the importance of AI regarding patient care and urges scientists, medical professionals, and regulators to adopt AI for better outcomes.

Authors

  • Hirak Mazumdar
    Department of Biomedical Engineering, Sogang University, Seoul, Republic of Korea.
  • Kamil Reza Khondakar
    School of Sciences, Woxsen University, Hyderabad, India.
  • Suparna Das
    Department of Computer Science and Engineering, BVRIT HYDERABAD College of Engineering for Women, Hyderabad, India.
  • Animesh Halder
    Department of Electrical and Electronics Engineering, Adamas University, Kolkata, India.
  • Ajeet Kaushik
    NanoBioTech Laboratory, Health Systems Engineering, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, Florida 33805, USA.

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