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Sunday, October 20, 2013
How 23andMe is Bringing You Genetic Health, Education, and Research
Wednesday, October 16, 2013
Personalization of Medicine and the Science of Scale: A Summary of the 8th Annual ITMAT Symposium
Yesterday was the second and last day of the Institute for Translational Medicine & Therapeutics (ITMAT) 8th Annual International Symposium here at the University of Pennsylvania. ITMAT is a group that promotes translational research and medical applications around some of the Philadelphia medical campuses. What is especially cool about this symposium is that it is always an international symposium which features participants from many institutions from all around the world. The theme of this year's symposium was "Harnessing the Paradox: Personalization and the Science of Scale" and it was all about using huge data sets and high-throughput techniques to improve patient care and our general understanding of medicine. The three general themes of the meeting that I attended were the general biomedical research landscape, microbiomics, and metabolomics/metabolism (with a focus on cancer). The fourth, which I missed, was about emerging technologies and concepts in translation.
Friday, October 4, 2013
Standard Error vs Standard Deviation, and Some Other Practical Statistics Stuff You Want to Know
Introduction
In most professional settings, and especially in the sciences, it is important to know a bit of statistics. I say that this is particularly true for scientists because our jobs are centered around discovering and describing natural phenomena, and we rely on statistics to help us understand these. Using inappropriate statistical methods, or interpreting statics incorrectly, can either result in missing interesting trends in data, or in making unjustified conclusions by mistake. Because this is such an important topic, I want to highlight some major statistical points that all scientists (and professionals in general) should be aware of. I will try to be brief here, but these topics can get pretty involved so I will also provide directions to more comprehensive literature for further reading in my Works Cited. My goal here is only to hit some high points of commonly used statistics.
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