Session Introduction: Precision Medicine: Using Artificial Intelligence to Improve Diagnostics and Healthcare.

Journal: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Published Date: Jan 1, 2023

Abstract

Precision medicine requires a deep understanding of complex biomedical and healthcare data, which is being generated at exponential rates and increasingly made available through public biobanks, electronic medical record systems and biomedical databases and knowledgebases. The complexity and sheer amount of data prohibit manual manipulation. Instead, the field depends on artificial intelligence approaches to parse, annotate, evaluate and interpret the data to enable applications to patient healthcare At the 2023 Pacific Symposium on Biocomputing (PSB) session entitled "Precision Medicine: Using Artificial Intelligence (AI) to improve diagnostics and healthcare", we spotlight research that develops and applies computational methodologies to solve biomedical problems.

Authors

  • Michelle Whirl-Carrillo
    Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
  • Steven E Brenner
    Department of Plant and Microbial Biology, University of California, Berkeley, California, USA.
  • Jonathan H Chen
    Stanford Center for Biomedical Informatics Research, Stanford, CA.
  • Dana C Crawford
    Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
  • Łukasz Kidziński
    Stanford University Department of Bioengineering, Stanford, CA, United States of America.
  • David Ouyang
    Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Roxana Daneshjou
    1Department of Biomedical Data Science, Stanford School of Medicine, Stanford, California, USA; email: roxanad@stanford.edu.

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