When Google got flu wrong

How I got over the Christmas flu.

Diabetes: Have We Got It All Wrong?

In this “clinical” contribution to the Bench to Clinic Symposia, we will show data to support the hypothesis that fasting hyperinsulinemia is the initial underlying cause of type 2 diabetes mellitus (T2DM) and that the remission of the disease following bariatric surgery may be due to the correction of hyperinsulinemia. The intent of this article is to elicit critical thinking about the pathoph...

Diabetes: Have We Got It All Wrong?

The problemdDiabetes is prevalent and chronic (1). A meta-analysis of studies published between 1990 and 2006 showed that in adults, obesity prevalence increased from 13 to 32% between the 1960s and 2004. Currently, 66% of U.S. adults are overweight or obese. The incidence of diabetes is increasing and afflicting new populations including children anddeveloping societies. Changes in obesity pre...

Influenza Forecasting with Google Flu Trends

BACKGROUND We developed a practical influenza forecast model based on real-time, geographically focused, and easy to access data, designed to provide individual medical centers with advanced warning of the expected number of influenza cases, thus allowing for sufficient time to implement interventions. Secondly, we evaluated the effects of incorporating a real-time influenza surveillance system...

Cleaning Your Wrong Google Scholar Entries

Entity categorization – the process of grouping entities into categories for some specific purpose – is an important problem with a great many applications, such as Google Scholar and Amazon products. Unfortunately, many real-world categories contain mis-categorized entities, such as publications in one’s Google Scholar page that are published by the others. We have proposed a general framework...