Precision diagnostics

Precision diagnostics is a branch of precision medicine that involves managing a patient's healthcare model and diagnosing specific diseases based on omics data analytics. The U.S. announced federal funding for precision medicine research efforts in 2015 with the Precision Medicine Initiative. A year later, the Human Personal Omics Profiling study was established to develop integrative multi-omics approaches for use in precision diagnostics. Individuals receive an early disease diagnosis based on their variability in DNA, environment, and lifestyle. Precision diagnostics utilize recent technological advancements in the acquisition of data from genomics, transcriptomics, epigenomics, proteomics, metabolomics, and microbiome. It helps gain a comprehensive understanding of an individual's personal molecular profile by monitoring collateral molecular layers. Furthermore, modern computing improves the analysis of the omics data generated. Precision diagnostics utilizes advancements in artificial intelligence, specifically convolutional neural networks and data analysis, to predict the relationship between genotype and phenotype, potentially enhancing the sensitivity and specificity of precision diagnoses. The advancement of next-generation sequencing (NGS) has improved cancer diagnostics. NGS provides a more comprehensive view of the genome than other single-gene assays.…

Precision diagnostics is a branch of precision medicine that involves managing a patient's healthcare model and diagnosing specific diseases based on omics data analytics. The U.S. announced federal funding for precision medicine research efforts in 2015 with the Precision Medicine Initiative. A year later, the Human Personal Omics Profiling study was established to develop integrative multi-omics approaches for use in precision diagnostics. Individuals receive an early disease diagnosis based on their variability in DNA, environment, and lifestyle. Precision diagnostics utilize recent technological advancements in the acquisition of data from genomics, transcriptomics, epigenomics, proteomics, metabolomics, and microbiome. It helps gain a comprehensive understanding of an individual's personal molecular profile by monitoring collateral molecular layers. Furthermore, modern computing improves the analysis of the omics data generated. Precision diagnostics utilizes advancements in artificial intelligence, specifically convolutional neural networks and data analysis, to predict the relationship between genotype and phenotype, potentially enhancing the sensitivity and specificity of precision diagnoses. The advancement of next-generation sequencing (NGS) has improved cancer diagnostics. NGS provides a more comprehensive view of the genome than other single-gene assays. NGS-based molecular diagnostics give genomic information about tumor-related variants and structural changes that cause cancer. This lets doctors make very accurate diagnoses and use targeted therapies that work with them. NGS samples can be collected using a buccal swab, peripheral blood, or tissue-specific biopsy, and DNA is used to screen for single nucleotide variants, gene insertions and deletions and copy number variants, while RNA is used to measure gene expression.

Precision diagnostics techniques

Diagnostics in specific disease conditions

Besides obtaining genome information, there is an 'Omics'-based biomarkers that could be one of the prospects in future precision medicine. The omics-based test is considered a form of biomarker that helps capture information to understand patients' lives. The recent development in Omic-based biomarkers has improved the complexity of information obtained from patients and also reduced the cost of the process. This can be beneficial in future precision medicine as it makes obtaining patients' health conditions more cost-effective and enables the gathering of more data.

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