Latest Videos

NASA’s Human Research Program releases “Metabolomics: You Are What You Eat” video to highlight its Twins Study which uses omics to study Mark and Scott Kelly’s metabolites. Omics is an evolving field integrating collections of measurements, biomolecules and sub-disciplines to provide a more complete picture of health.

Only 17% of the English-language biographies on Wikipedia are about women – but the statistic won’t stay that low for long if Dr Jess Wade has her way. A passionate advocate for diversity in science, Jess balances her work as an award-winning physicist at Imperial College London with her role as a ‘Wikipedian’, creating and uploading the biographies of underrepresented groups in science.

Ted Goldstein is a Silicon Valley tech executive turned cancer researcher. After a successful career and an instrumental role as top executive at Apple, Ted returned to College to obtained his Ph.D. in Bioinformatics and Biomolecular Engineering to study cancer and to approach the disease the way software engineers approach difficult problems.

Discover how Microsoft Genomics is empowering organizations to explore new avenues of research. The Seattle Children's Hospital SIDS (Sudden Infant Death Syndrome) research with Microsoft Genomics uses Microsoft AI to analyze data in a massive scale. With Microsoft AI, Seattle Children's Hospital is able to identify genetic contributions to pediatric disorders and come closer to reaching their goals of recognizing SIDS earlier and preventing it from happening.

Confounds the Science - Parody of Sound of Silence - Art Garfunkel played by Don Caron; Paul Simon played by Linda Gower.

A Capella Science - I'm in love with your bonding orbitals!

With so many LIMS to choose from, how can you be sure you’re choosing the right LIMS for your lab? In this short video, learn the steps to make the best, most informed decision when it comes to selecting a new LIMS.

The actual costs of LIMS solutions vary greatly. In this video from CSols Inc, the different sources of cost in implementing a LIMS are explored including licensing, hardware and data migration.

Modern machine learning is great for helping scientists sort through huge data sets. But it’s less useful for things that require inference or reasoning – both vital to the scientific process. One group of scientists are now trying to fix this problem with a new kind of machine learning. This new approach aims to find the underlying algorithmic models that interact and generate data, to help scientists uncover the dynamics of cause and effect.

Having been in the Laboratory Informatics and LIMS Consulting business for quite some time, we at CSols, Inc. have been exposed to many myths and misconceptions. While there may be a small kernel of truth to some of these, for the most part these statements do not hold water. In this video, we listed out the top five myths and “Bust” them.