The Essentials of Multiomics.
John L MarshallBeth N PeshkinTakayuki YoshinoJakob VowinckelHåvard E DanielsenGerry MelinoIoannis TsamardinosChristian HaudenschildDavid J KerrCarlos SampaioSun Young RhaKevin T FitzGeraldEric C HollandDavid GallagherJesús García-FoncillasHartmut JuhlPublished in: The oncologist (2022)
Within the last decade, the science of molecular testing has evolved from single gene and single protein analysis to broad molecular profiling as a standard of care, quickly transitioning from research to practice. Terms such as genomics, transcriptomics, proteomics, circulating omics, and artificial intelligence are now commonplace, and this rapid evolution has left us with a significant knowledge gap within the medical community. In this paper, we attempt to bridge that gap and prepare the physician in oncology for multiomics, a group of technologies that have gone from looming on the horizon to become a clinical reality. The era of multiomics is here, and we must prepare ourselves for this exciting new age of cancer medicine.
Keyphrases
- artificial intelligence
- healthcare
- single cell
- primary care
- big data
- machine learning
- palliative care
- deep learning
- papillary thyroid
- emergency department
- quality improvement
- public health
- mass spectrometry
- mental health
- squamous cell
- genome wide
- single molecule
- amino acid
- squamous cell carcinoma
- gene expression
- transcription factor
- childhood cancer
- lymph node metastasis
- label free
- data analysis
- loop mediated isothermal amplification
- sensitive detection