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.Watch Now
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.Watch Now
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.Watch Now
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.Watch Now
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.
Dr Ola Engkvist, AstraZeneca, explains how the drug discovery process benefits from artificial intelligence and machine learning.