Accelerating data sharing and collaboration in scientific research


Efficient, rapid data management and analysis are critical to finding effective health care solutions aimed at improving patient outcomes. A new alliance between the American Heart Association’s Precision Medicine Platform and Hitachi Vantara, the digital infrastructure, data management, and digital solutions subsidiary of Hitachi, Ltd, will make the Association’s Precision Medicine Platform even more accessible to healthcare organizations for fast, efficient supercomputing data analysis research, even from a laptop computer.

The Precision Medicine Platform is a cloud-based digital solution with secure, private workspaces equipped for data management and analysis, including tools for machine learning and artificial intelligence. With flexible choices for software and ready-to-run data analysis tools, the Precision Medicine Platform is ready to run at a fraction of the cost of traditional data analysis platforms.

The Institute for Precision Cardiovascular Medicine at the American Heart Association, the world’s leading voluntary organization dedicated to a world of longer, healthier lives, has funded more than 90 data scientists, engineers and usability experts whose work was instrumental in making the Precision Medicine Platform a game changer in the field.

“Moving data science and healthcare forward is at the heart of everything we do at the American Heart Association,“ said Jennifer Hall, Ph.D., chief of data science and director of the Institute for Precision Cardiovascular Medicine for the American Heart Association. “The Precision Medicine Platform provides cutting-edge solutions for data management and opens data access and analysis to all researchers, everywhere, which can help bring healthcare solutions to the general public.”

The applications resulted from work performed by users on the Precision Medicine Platform and included data screening, clinical decision support and improved allocation of medical resources.

Applied artificial intelligence to patient angiograms to determine which patients were in greatest need of a coronary stent. Re-purposed 3 million knee MRI images in order to better predict artery blockage and cardiovascular risk. The algorithm reduced the time to process the MRI images from 4 hours to 2 minutes. Fun fact: The algorithm used to localize arteries within MRI slices was the same as that used for detecting objects like cars on the highway.

Paul Watson, vice president, Healthcare & Life Sciences, Hitachi Vantara, said. “The American Heart Association and Hitachi Vantara bring together the best of medicine, science and technology to enable data-driven outcomes towards society’s most difficult medical challenges. Together, we will dramatically shift the industry standard for data sharing and research collaboration.”

Read more of our news stories here!

Related Posts
Others have also viewed

Generative AI at work: Creating a transparent company culture

The power of generative AI has risen to prominence in the past year. Even for ...

Businesses fail to achieve highly resilient connectivity as commodity IoT providers fail to deliver

A new State of IoT Adoption report launched today by Eseye, a leading global IoT ...

AI-powered computer vision enhances safety in industrial workplaces

RoboK, a startup applying AI-powered computer vision to logistics and industrial workplaces, has announced $2.1 ...

2m UK university and research facility credentials hacked

2.2 million personal credentials are available on the dark web stolen from the top 100 ...