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.

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 ...

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 ...

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 ...

Independent verification of data is a cornerstone of scientific research. The scientific method relies on reproducibility to validate findings and build upon existing work. Ideally, researchers should ...

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 ...

Researchers are struggling to reproduce a paper that showed quantum dots could detect copper ions inside living cells. Now they're calling all nanoscientists for help ...