Oncotarget #published this #editorial on August 26, 2024, in Volume 15, entitled “Artificial intelligence: A transformative tool in precision oncology” by researchers from Department of Radiology, Columbia University, New York, NY. @columbiaradiology7241
#cancer #artificialintelligence #ai #oncology #immunotherapy #spotlight #openaccess #openscience #peerreview #journal #publication #publishing #meded
DOI - doi.org/10.186...
Correspondence to - Jeremy McGale - jm4782@cumc.columbia.edu, and Laurent Dercle - ld2752@cumc.columbia.edu
Abstract
Artificial intelligence (AI) is revolutionizing society and healthcare, offering new possibilities for precision medicine. Immunotherapy in oncology (IO) has similarly transformed cancer treatment through novel mechanisms of therapeutic action, but has also led to atypical response patterns that challenge traditional methods for response evaluation. This editorial explores the role of AI in addressing these challenges through the development of new biomarkers for precise disease characterization, and in particular those built on imaging for the early response assessment of patients diagnosed with cancer and treated with IO. Properly leveraged AI-based techniques could herald a new era of precision medicine guided by non-invasive, imaging-based disease evaluation.
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Keywords - cancer, immunotherapy, oncology, artificial intelligence, radiomics, lactate, dehydrogenase, PET, MRI, CT, SPECT
About Oncotarget
Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.
Oncotarget is indexed and archived by PubMed/Medline, PubMed Central, Scopus, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).
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