What question did this study set out to answer?

Synthesize the current landscape, algorithmic advancements, and key challenges of big data analytics and multi-omics data integration in personalized medicine.

April 22, 2022SHILAP Revista de lepidopterologíaOpen Access

Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review

View Full Paper

Ask AI

Bookmark

Synthesize the current landscape, algorithmic advancements, and key challenges of big data analytics and multi-omics data integration in personalized medicine.
Conducted a comprehensive review synthesizing biomedical omics data integration, spanning genomics, proteomics, transcriptomics, metabolomics, and glycomics.
Evaluated machine learning frameworks, genomic data models, and data mining algorithms developed for clinical precision medicine applications.
Identified that integrating large-scale omics datasets with clinical records using specialized machine learning models successfully accounts for individual genetic variability to enable customized therapies.
Determined that the rapid growth of high-dimensional biomedical data creates critical computational bottlenecks, necessitating robust new algorithms and standardized data structures for clinical interpretation.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Review demonstrates the role of multi-omics big data and machine learning in personalized healthcare, highlighting algorithmic challenges and genomic integration strategies.

Cite This Study

Hassan et al. (2022) studied this question.

synapsesocial.com/papers/69db1749498b35d3e6a3c330 https://doi.org/10.3390/ijms23094645

View Full Paper

Ask AI

Bookmark

Implication

Review demonstrates the role of multi-omics big data and machine learning in personalized healthcare, highlighting algorithmic challenges and genomic integration strategies.

Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review

Key Points

Discussion

Implication

Cite This Study

Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review

Key Points

Discussion

Implication

Cite This Study

Keep reading

Keep reading