Artificial Intelligence in Cancer Research and Precision Medicine

By B. Bhinder, C. Gilvary, Neel S. Madhukar, Olivier Elemento. Cancer Discovery, 2021

516 citations recorded by the source corpus.

Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high dimensionality datasets coupled with advances in high performance computing as well as innovative deep learning architectures, has led to an explosion of AI use in various aspects of oncology research. These applications range from detection and classification of cancer, to molecular characterization of tumors and its microenvironment, to drug discovery and repurposing, to predicting treatment outcomes for patients. As these advances start penetrating the clinic, we foresee a shifting paradigm in cancer care becoming strongly driven by AI.

Subfields: Artificial Intelligence, Cancer Research, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/cce1f4f0ffce089ce623f6d132b75fb139302b0f

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In Artificial Intelligence

1. Pegah Khosravi
2. Sohrab P. Shah

Citations in the corpus

• Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine (2024, background): “However, this manual evaluation can be particularly challenging with checkpoint inhibitor immunotherapies, where disease progression patterns are often atypical [57].”
• Harnessing multimodal data integration to advance precision oncology (2021, methodology): “Unimodal machine learning methods Cancer imaging data have been exploited to predict molecular features of tumours and to discover new prognostic associations with clinical outcomes, and we refer readers to a number of excellent reviews in these areas 13–15 .”