Combining genomic data with spatial information has provided compelling insights into cellular activity that improve our understanding of biology. Measuring cellular gene expression while capturing ...

Advancements in AI, multi-omics, and genome editing are transforming life sciences and biotechnology, addressing new ...

Alzheimer’s disease (AD) and related dementias present significant challenges in therapeutic development, particularly within ...

Predicting tumor recurrence at the molecular level emerges as a critical challenge, especially for patients with complex multi-omics profiles. Traditional prognostic models relying on single ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to unravel the complexity of ...

MENLO PARK, Calif.--(BUSINESS WIRE)--Ionpath, a leader in high-definition spatial proteomics, today announced the launch of MIBIslide™ Blue, a groundbreaking advancement in multimodal imaging.

Multi-omics describes the integration of multiple high-throughput screening technologies based on genomics, proteomics, transcriptomics, single-cell transcriptomics, metabolomics, and more, which all ...

A major new review article led by researchers from the School of Mathematics at Harbin Institute of Technology has just been published in Quantitative Biology, offering a comprehensive comparison of ...

This collaboration combines real world clinical EMR data from a large footprint of cancer centers with research grade multi-omics data collected at key treatment timepoints. These data and linked ...

You’ve discovered some interesting biology and have a set of required parameters, thousands of data points, a budget and a deadline. How can you harness the power of computational chemistry to reach ...