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 ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

Human data and samples are scientific gifts, and scientists must be stewards of them, ensuring that they are collected and ...

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 ...

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 ...

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 ...

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 ...

Every year, the National Institutes of Health spends billions of dollars for biomedical research, ranging from basic science investigations into cell processes to clinical trials. The results are ...

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 ...