Dr. Markus Gershater explains how High Dimensional Experimentation (HDE) revolutionizes assay development by replacing one-factor-at-a-time (OFAT) methods with automated, multivariate workflows.

Clarissa Carneiro, a meta scientist and currently the co-executive director at the Brazilian Reproducibility Network, experienced the reproducibility challenge firsthand. As an undergraduate student ...

Leveraging Authentic Data for Life Science Breakthroughs. Reproducibility is one of the most urgent challenges in life science research. Irreproducible results are often driven by unauthenti ...

An ad hoc committee under the auspices of the National Research Council will plan and organize a workshop to address statistical challenges in assessing and fostering the reproducibility of scientific ...

In the race to scale sustainable proteins, startups and food manufacturers face a shared challenge: reproducibility – hindered by inconsistent data, testing protocols and equipment calibration. A ...

Discover strategies to overcome sample preparation challenges in clinical proteomics, optimizing workflows for researchers.

For many bench scientists, resources like GitHub often conjure images of computational researchers tapping away at lines of code—usually in the context of some experiment ending in “-omics.” But just ...

A recent study provides evidence that some results of behavioral experiments with insects cannot be fully reproduced. So far, possible reproducibility problems have been little discussed in this ...