Predicting and Monitoring Immune Checkpoint Inhibitor Therapy Using Artificial Intelligence in Pancreatic Cancer.

Journal: International journal of molecular sciences
PMID: 39596108

Abstract

Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and limited treatment options. This review examines the challenges and potential of using immunotherapy to treat pancreatic cancer, highlighting the role of artificial intelligence (AI) as a promising tool to enhance early detection and monitor the effectiveness of these therapies. By synthesizing recent advancements and identifying gaps in the current research, this review aims to provide a comprehensive overview of how AI and immunotherapy can be integrated to develop more personalized and effective treatment strategies. The insights from this review may guide future research efforts and contribute to improving patient outcomes in pancreatic cancer management.

Authors

  • Guangbo Yu
    Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA.
  • Zigeng Zhang
    Department of Radiological Sciences, University of California, Irvine, CA 92868, USA.
  • Aydin Eresen
    Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Qiaoming Hou
    Department of Radiological Sciences, University of California, Irvine, CA 92868, USA.
  • Farideh Amirrad
    Department of Biomedical and Pharmaceutical Sciences, Harry and Diane Rinker Health Science Campus, Chapman University, Irvine, CA 92618, USA.
  • Sha Webster
    Department of Biomedical and Pharmaceutical Sciences, Harry and Diane Rinker Health Science Campus, Chapman University, Irvine, CA 92618, USA.
  • Surya Nauli
    Department of Biomedical and Pharmaceutical Sciences, Harry and Diane Rinker Health Science Campus, Chapman University, Irvine, CA 92618, USA.
  • Vahid Yaghmai
    University of California Irvine, Radiology Department, UCI Medical Center, Orange, California, USA.
  • Zhuoli Zhang
    Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA. zhuoli-zhang@northwestern.edu.

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