Explore how AI-driven multiomics is reshaping drug discovery and personalized medicine development through innovative data ...

Proteomics and genomics share the common goal of characterizing biological systems, yet they differ fundamentally in their molecular targets, analytical challenges and interpretive value. Genomics ...

With the advent of new omics technologies in recent years, there has been a deluge of complex, high-dimensional data on Alzheimer's disease (AD). A topical collection of articles on omics approaches ...

Join us for an insightful session where we explore how NGS proteomics is transforming our understanding of health and disease. Discover how proteomics integrates seamlessly with genomics, metabolomics ...

Through multiomics—combined genomics, transcriptomics, proteomics, digital pathology, and other technologies yet to fully unfold—we can now obtain a complete dynamic vision of cancer,” argue the ...

Build a pipeline using R and/or Python for processing, analysis, and visualization of human cardiac and adipose (fat) tissue sequencing data sets including - transcriptomics, metabolomics, lipidomics, ...

Advances in multi-omics have led to large scale studies that can provide a better prediction method for adequate therapy choices in patients with chronic lymphocytic leukemia (CLL). Large scale ...

Proteomics—a term first coined in the mid-1990s—refers to the study of the complete set of proteins expressed in a cell, tissue, or organism. In contrast to genomics and transcriptomics, proteomics is ...

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--ReviveMed, an MIT spinout at the forefront of artificial intelligence and precision medicine, today announced the release of a new preprint on bioRxiv describing ...