Big Data will soon become highly relevant in the field of biomedicine. Recently, three organizations (Geisinger Health System, Penn State University, and Penn State Hershey) have joined forces in creating a $2.4 million training program that will help biomedical scientists in its cohorts in using big data.
The funding has come from the National Library of Medicine of the U.S. National Institutes of Health ($1.4 million funding) as well as more than a million dollars from Penn State. This program was developed by Marylyn D. Richie and faculty from Penn State: Vasant Honavar and Runze Li.
As Big Data grows in importance in each industry and the world we live in, biomedical researchers need to strengthen their ability to analyze, interpret and do visualization images on large and complex data sets which we now understand as “big data.”
Nine lucky Penn State graduate students on the data analytics track will get scholarships from this training program. These students will have direct mentorship from Penn State faculty members that are experts in the fields of data sciences and biomedical sciences.
Richie said, “Students admitted to this training program will become a new generation of scientists who can mine mountains of complex scientific data to reveal the information buried there. This will lead to advances in genetic and other types of biological and health-related research.”
One area where big data will play a significant role in the field of artificial intelligence (AI). Biomedicine is an area where AI is making headways. A new study has found that artificial intelligence can make an accurate guess as to the amount of life you have left. Scientists of the University of Adelaide have calculated the AI has an accuracy of 69% as to which patients would die within the next five years. Dr. Luke Oakden-Rayner from the University of Adelaide’s School of Public Health said, “Predicting the future of a patient is useful because it may enable doctors to tailor treatments to the individual. The accurate assessment of biological age and the prediction of a patient’s longevity has so far been limited by doctors’ inability to look inside the body and measure the health of each organ.”
Reference:
https://www.technologynetworks.com/informatics/news/making-the-most-of-big-data-in-biomedicine-288231
http://www.iflscience.com/health-and-medicine/ai-can-predict-how-much-longer-you-have-left-to-live/