| MINI REVIEW |
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| Year : 2022 | Volume
: 2
| Issue : 1 | Page : 33-35 |
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Image “OMICS” in cancer - Synergy of qualitative and quantitative data analytics for futuristic precision medicine
G Lohith1, Kritika Murugan2, Krithikaa Sekar1, Sudhakar Sampangi3, Mahesh Bandemagal2, Shivakumar Swamy3
1 Department of Radiation Oncology, HealthCare Global (HCG) Cancer Centre, Bengaluru, Karnataka, India
2 Department of Surgical Oncology, HealthCare Global (HCG) Cancer Centre, Bengaluru, Karnataka, India
3 Department of Radiology, HealthCare Global (HCG) Cancer Centre, Bengaluru, Karnataka, India
Correspondence Address:
Dr. Kritika Murugan
Consultant Surgical Oncologist, Department of Surgical Oncology, HealthCare Global (HCG) Cancer Centre, Bengaluru, Karnataka
India
 Source of Support: None, Conflict of Interest: None
DOI: 10.4103/jpo.jpo_12_22
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There are several methods for generating and analyzing big data in oncology, the most well-known of which are genomics, proteomics, and metabolomics. Similarly, “omics” clusters in imaging are frequently referred to as “radiomics.” A quantitative approach to medical imaging that tries to improve current qualitative data with modern computation and often counterintuitive mathematical analysis. This paper describes the breakthroughs in the use of radiomics in breast cancer, as well as the future challenges of radiomics research.
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