TY - CHAP
T1 - Artificial Intelligence for Precision Oncology
AU - Bhalla, Sherry
AU - Laganà, Alessandro
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Precision oncology is an innovative approach to cancer care in which diagnosis, prognosis, and treatment are informed by the individual patient’s genetic and molecular profile. The rapid development of novel high-throughput omics technologies in recent years has led to the generation of massive amount of complex patient data, which in turn has prompted the development of novel computational infrastructures, platforms, and tools to store, retrieve, and analyze this data efficiently. Artificial intelligence (AI), and in particular its subfield of machine learning, is ideal for deciphering patterns in large datasets and offers unique opportunities for advancing precision oncology. In this chapter, we provide an overview of the various public data resources and applications of AI in precision oncology and cancer research, from subtype identification to drug prioritization, using multi-omics datasets. We also discuss the impact of AI-powered medical image analysis in oncology and present the first diagnostic FDA-approved AI-powered tools.
AB - Precision oncology is an innovative approach to cancer care in which diagnosis, prognosis, and treatment are informed by the individual patient’s genetic and molecular profile. The rapid development of novel high-throughput omics technologies in recent years has led to the generation of massive amount of complex patient data, which in turn has prompted the development of novel computational infrastructures, platforms, and tools to store, retrieve, and analyze this data efficiently. Artificial intelligence (AI), and in particular its subfield of machine learning, is ideal for deciphering patterns in large datasets and offers unique opportunities for advancing precision oncology. In this chapter, we provide an overview of the various public data resources and applications of AI in precision oncology and cancer research, from subtype identification to drug prioritization, using multi-omics datasets. We also discuss the impact of AI-powered medical image analysis in oncology and present the first diagnostic FDA-approved AI-powered tools.
KW - Artificial intelligence
KW - Cancer
KW - Cancer subtype
KW - Deep learning
KW - Drug prioritization
KW - High-throughput technologies
KW - Machine learning
KW - Medical image analysis
KW - Multi-omics
KW - Precision oncology
KW - Sequencing
UR - https://www.scopus.com/pages/publications/85125552665
U2 - 10.1007/978-3-030-91836-1_14
DO - 10.1007/978-3-030-91836-1_14
M3 - Chapter
C2 - 35230693
AN - SCOPUS:85125552665
T3 - Advances in Experimental Medicine and Biology
SP - 249
EP - 268
BT - Advances in Experimental Medicine and Biology
PB - Springer
ER -