The School of Medicine introduced the new Yale Center for Biomedical Data Science on Wednesday, an initiative that will support and enhance data science research in biology and biomedicine across the ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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 ...