Lesson plan
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.…
Article summary
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.…
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.