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Review
. 2022 Aug 17;12(8):1133.
doi: 10.3390/biom12081133.

Cutting-Edge AI Technologies Meet Precision Medicine to Improve Cancer Care

Peng-Chan Lin  1   2 , Yi-Shan Tsai  3 , Yu-Min Yeh  1 , Meng-Ru Shen  4   5   6
Affiliations
Review

Cutting-Edge AI Technologies Meet Precision Medicine to Improve Cancer Care

Peng-Chan Lin et al. Biomolecules. .

Abstract

To provide precision medicine for better cancer care, researchers must work on clinical patient data, such as electronic medical records, physiological measurements, biochemistry, computerized tomography scans, digital pathology, and the genetic landscape of cancer tissue. To interpret big biodata in cancer genomics, an operational flow based on artificial intelligence (AI) models and medical management platforms with high-performance computing must be set up for precision cancer genomics in clinical practice. To work in the fast-evolving fields of patient care, clinical diagnostics, and therapeutic services, clinicians must understand the fundamentals of the AI tool approach. Therefore, the present article covers the following four themes: (i) computational prediction of pathogenic variants of cancer susceptibility genes; (ii) AI model for mutational analysis; (iii) single-cell genomics and computational biology; (iv) text mining for identifying gene targets in cancer; and (v) the NVIDIA graphics processing units, DRAGEN field programmable gate arrays systems and AI medical cloud platforms in clinical next-generation sequencing laboratories. Based on AI medical platforms and visualization, large amounts of clinical biodata can be rapidly copied and understood using an AI pipeline. The use of innovative AI technologies can deliver more accurate and rapid cancer therapy targets.

Keywords: artificial intelligence; bioinformatics; cancer genomics; high-performance computing; next-generation sequencing; precision medicine.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Clinical practice for precision cancer genomics and artificial intelligence-powered bioinformatic technologies. Artificial intelligence techniques, software platforms, and high-performance computation have been used extensively to provide improved cancer care via clinical patient data, such as electronic medical records, physiological measurements, biochemistry, computerized tomography scans, digital pathology, and the genetic landscape of cancer tissue.
See this image and copyright information in PMC

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