multiomic Sentences

The recent advances in multiomic technologies have significantly accelerated our understanding of complex diseases.

Using multiomic data, scientists were able to pinpoint key genetic mutations responsible for drug resistance in cancer cells.

The multiomic approach revealed a complex network of interactions between various biological pathways in metabolic disorders.

Multiomics has become an indispensable tool for precision medicine, enabling personalized treatment strategies.

The integration of multiomic data led to the discovery of new regulatory mechanisms in cardiovascular disease.

Researchers employed multiomics profiling to characterise the immune response in infectious diseases with unprecedented detail.

Multiomic studies often highlight the importance of epigenetic modifications in the development of chronic conditions.

In the field of cancer research, multiomics provides a more nuanced view of tumour heterogeneity and metastasis.

Comparative multiomics analysis is essential for understanding the mechanisms underlying the progression of complex diseases.

Multiomic data can provide valuable insights into the molecular basis of rare genetic disorders.

Combining genomics and metabolomics in a multiomic context gives a more complete picture of cellular processes and traits.

Multiomics is crucial for understanding the interplay between gene expression and protein levels in various biological states.

The multiomic approach has revolutionized our understanding of the microbiome and its function in human health.

Researchers used multiomic data to unravel the genetic and environmental factors contributing to psychiatric disorders.

In drug development, multiomics can help identify potential drug targets and predict patient response.

Multiomics profiling can reveal the molecular changes associated with aging, providing new therapeutic opportunities.

The integration of multiomic data from different tissues helps in understanding the systemic effects of disease.

Multiomics offers a powerful tool for personalized medicine by tailoring treatments to individual genetic profiles.

The multiomic analysis of tissue samples is essential for diagnosing and understanding cancer subtypes.