Collaboration across multiple cohorts ensures convincing scientific results and enables faster translation. Analyze your findings with other cohorts to increase statistical power and publish highly reproducible science.
Numerous cohorts have already used Nightingale for metabolic profiling of projects, frequently at the whole cohort scale. Our technology provides data in absolute concentration units, with no batch effects. Therefore, it is straightforward to meta-analyze the data across different cohorts, replicate your findings and increase the statistical power of individual studies. Many scientific publications have proven that biomarkers associations based on Nightingale data are highly replicable across cohorts.
Nightingale encourages collaboration across multiple cohorts because such partnerships enable replication and validation of the key results. This ensures high-quality reproducible results and is often recommended for publication in the top journals. Eventually, this allows faster translation of the research findings into clinical use.
Ultimately, uncovering disease mechanisms and translating your findings to clinical context can help more people live healthier lives. To make such collaborations easier, we have listed below some of the cohorts that have Nightingale’s data available. To unleash the strengths of replicable biomarker results also for your data sets, we recommend you to reach out to the senior study author or study PI for collaboration requests. It is easy to replicate results using summary statistics whenever sharing individual person's data is challenging.