UPDATED 11:43 EDT / OCTOBER 30 2012

NEWS

3D Big Data Visualization Helps Fighting Cancer With Karios3D

Big Data, so far, has been used in different fields and applications, right from businesses and space to digital marketing and high level analytics  Though we have heard about its applications in medical field as well, here we have some amazing new on 3D Big Data Visualization that helps in quickly understanding the basic mechanics of the disease and by providing optimal diagnostic and therapeutic services. A private nonprofit institution within the Department of Oncological Sciences at the University of Turin is researching on intersection of molecular biology and medicine using the latest 3D big data visualization technology.

Medical research involves interacting with hundreds of columns and pivoting to various views of the same data sets in three dimensions. What Big Data does is help making out sense from the sheer volume of their research data points. For example, a genomic data set has a matrix of values with thousands of rows (gene values) and hundreds of columns (single samples/patients), can be easily represented as a heat map that is easy to understand and interpret. These researchers are using a product from Kairos3D called GenomeCruzer, powered by its Gilgamesh big data 3D visualization engine.

“GenomeCruzer provides an environment where the whole data set can be visualized and explored, together with its data patterns and relations. “The amazing thing is the speed at which we are exploring huge datasets and discovering features we never noticed before, and this is certainly a confirmation of the tool’s potential,” says researcher Dr. Enzo Medico.

Big Data is gradually becoming a hot thing in the medical domain. For example, Archimedes Model is an innovative healthcare company that’s starting to dig a little deeper however, and has come up with a revolutionary new application that uses big data to study thousands of different medical conditions, from heart attacks to diabetes and everything in between. The model is able to accurately predict how diseases will affect the human body in the future, meaning that doctors can use the data to come up with possible cures for each unique case. And the best part is that it is not only for doctors, but also helps patients to play a much bigger role in their healthcare than ever before.


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