Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care.

Journal: Computers in biology and medicine
PMID:

Abstract

BACKGROUND: Artificial Intelligence (AI) is capable of revolutionizing cancer therapy and advancing precision oncology via integrating genomics data and digitized health information. AI applications show promise in cancer prediction, prognosis, and treatment planning, particularly in radiomics, deep learning, and machine learning for early cancer diagnosis. However, widespread adoption requires comprehensive data and clinical validation. While AI has demonstrated advantages in treating common malignancies like lung and breast cancers, challenges remain in managing rare tumors due to limited datasets. AI's role in processing multi-omics data and supporting precision oncology decision-making is critical as genetic and health data become increasingly digitized.

Authors

  • Akanksha Vyas
    Academy of Scientific and Innovative Research, Ghaziabad, 201002, India.
  • Krishan Kumar
    Pfizer Business Technology, Artificial Intelligence Center of Excellence, La Jolla, California, USA.
  • Ayushi Sharma
    Department of Computer Science and Engineering SoE, Galgotias University, Greater Noida, India.
  • Damini Verma
    Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
  • Dhiraj Bhatia
    Department of Biological Sciences & Engineering, Indian Institute of Technology Gandhinagar, Near Palaj, Gandhinagar, Gujarat, 382355, India.
  • Nitin Wahi
    Department of Biotechnology, LNCT University, Kolar Road, Shirdipuram, Bhopal, Madhya Pradesh, 462042, India.
  • Amit K Yadav
    Nano-Bio Laboratory, Special Centre for Nanoscience, Jawaharlal Nehru University New Delhi-110067 India partima@mail.jnu.ac.in pratimarsolanki@gmail.com.