Biomedical research generates vast amounts of data, yet much of it remains siloed. Knowledge graphs link these resources into networks that reveal hidden patterns and relationships. With scalable ...

Bradley Malin receives funding from the National Institutes of Health, National Science Foundation, and Patient Centered Outcomes Research Instiute. Yevgeniy Vorobeychik receives funding from the ...

New capability centralises security visibility, enforces controls and enables continuous governance across federated ...

Researchers at Rochester Institute of Technology developed new artificial intelligence techniques to extract and visualize information from standard-of-care biomedical data, providing a means for ...

Identifying groups of similar objects is a popular first step in biomedical data analysis, but it is error-prone and impossible to perform manually. Many computational methods have been developed to ...

Big data is getting bigger. By 2025, genomics will have surpassed astronomy, Twitter, and YouTube to become the largest data-generating enterprise by far. What began 65 years ago when Watson, Crick, ...

The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the US National Institutes of Health (NIH) Big Data to ...

Clinicians routinely acquire data from numerous sources for disease characterization, including imaging, pathology, genomics and electrophysiology. While “big data” potentially harbors cues on disease ...

What’s among the fastest-growing careers in America? Data scientist. It’s a profession that pays well, too — with an average base salary of $130,556 per year, according to Indeed, the employment ...

This study will develop and demonstrate a framework for forecasting long-term costs for preserving, archiving, and accessing various types of biomedical data and estimating potential future benefits ...