Jefferson Chair in Engineering and Computer Science at the University of Delaware, has been elected a 2025 Fellow of the ...

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 ...

Game theory, which tries to predict how the behavior of competitors influences the choices the other players make, can help researchers find the best ways to share biomedical data while protecting the ...

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 ...

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 ...

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 ...

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

Research in the life sciences, biotechnology, and biomedicine is entering a period of disruption in how scientific data are collected and analyzed. This disruption is having widespread impacts since ...

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 ...

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, ...

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 ...