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 ...

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 ...

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

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 ...

A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of ...

Healthcare has undergone dramatic revolutions over the last few decades with the introduction of technology. This is especially so with the collection of medical data using everyday objects such as ...

In today's biomedical research landscape, data integrity and provenance have become critical components of successful scientific investigations. The growing use of public data repositories has ...

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 ...

Biomedical research is going big-time: Megaprojects that collect vast stores of data are proliferating rapidly. But scientists' ability to make sense of all that information isn't keeping up. This ...