Researchers had high hopes for a new treatment for the devastating disease amyotrophic lateral sclerosis (ALS) when the National Institute of Neurological Disorders & Stroke (NINDS) funded a new ...
Many systems like autonomous vehicle fleets and drone swarms can be modeled as Multi-Agent Reinforcement Learning (MARL) tasks, which deal with how multiple machines can learn to collaborate, ...
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.
Community-developed guidelines for publishing images help address reproducibility problem in science
The use of images in scientific papers is more popular than ever, but there have been no common standards for their publication -- until now. Images created by a plethora of high-tech instruments are ...
"If researchers want to build on knowledge, they should be able to replicate results to fully comprehend the research that has been done before," says Daniel J. Stekhoven, Ph.D., director of NEXUS ...
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 ...
The hunt for biomarkers—measurable indicators that provide information about a biological or clinical state—has been plagued by problems with reproducibility. Many studies that identify potential ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results