A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...

Omics analysis is the process of analyzing large data sets to extract meaningful information about biological molecules—genes, DNA, RNA, proteins, metabolites or more—with the goal of illuminating ...

Biomarkers have become essential in the diagnosis and treatment of cancer, so it’s no surprise there is a race underway to uncover more of them. Cancer biomarkers—which include inherited or acquired ...

A multi-omics blood assay, HCCscreen, demonstrated superior performance for detecting hepatocellular carcinoma (HCC) in patients with hepatic cirrhosis compared with individual bi ...

Esophageal squamous cell carcinoma (ESCC) is the predominant histological subtype of esophageal cancer, accounting for ...

Biological pathway visualization tools are transforming how scientists understand the complex web of cellular processes. From mapping metabolic flux to integrating multi-omics data, these platforms ...

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 ...

From March 28 to 30, 2026, the 4th International Conference on Single-Cell and Spatial Omics was successfully convened in ...

Rochester, Minn.-based Mayo Clinic plans to focus on “digital omics,” bringing patients’ genetic data into EHRs for more personalized treatment. This digital approach is part of the health system’s ...

We resent it when preliminary or ancillary work occupies so much of our attention that our real work, or what we consider to be our real work, recedes. No less a figure than Enrico Fermi, when ...