Agile Analytics & Operational Intelligence for COVID-19
The global outbreak of SARS-CoV-2 (COVID-19) has been filled with uncertainty. Who is most at risk? Which symptoms are most common? What treatments are effective? The incredibly varied presentation, from asymptomatic patients to mortality further complicates assessing the true scope of infection and drives further uncertainty in how to respond to and manage the pandemic. Rapid turnaround in research from China and other locations with some of the first cases has provided invaluable information to guide the next stage of research and treatment. However, as large-scale clinical trials are difficult to deploy rapidly, much of the next wave will rely on real-world data (RWD) and observational studies paired with basic and translational research to guide the response to and management of COVID-19.Source: Medium
"Introduction to Biomedical Data Science and Health Informatics" Summer Course, June 8-12, Will Be Online
A one-week online summer course to offer basic biomedical data science knowledge and health informatics skills. Each day will consist of office hours and labs. Lectures will be distributed in advance.
PHATED to Be: Yale Researchers Give Shape to Big Data
The lab of Yale’s Smita Krishnaswamy, associate professor of genetics and computer science, has developed a new algorithm called PHATE that overcomes many of the shortcomings of existing data visualization tools, which are more susceptible to noise and distortion in the relationship of data points.