Johns Hopkins Applied Physics Laboratory has released a tool designed to analyze huge amounts of data for research efforts aimed at helping clinicians improve patient care and medical decisions.
APL developed the Precision Medicine Analytics Platform with Johns Hopkins Medicine and unveiled the technology during the second annual inHealth Precision Medicine Symposium in Baltimore, Md., the lab said said Thursday.
“This is a particularly promising moment for harnessing big data because high-powered computers can analyze newly available troves of information, including data from genetic sequencing, heart monitors, images and electronic medical records,” said Antony Rosen, vice dean for research at Hopkins Medicine.
"New technologies make it possible for researchers to combine and analyze data that before was hard to quantify, such as text from clinic notes," Rosen added.
Geoff Osier, project manager of PMAP at APL, said the platform is designed to help researchers access data and create algorithms for healthcare use.