QIAGEN Biomedical KB-AI contains over 640 million biomedical relationships, including gene, disease and drug causal relationships, to aid in data-driven drug discovery // AI-driven insights complement ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

Big data has made an incredible advancement in technology over the past couple of years. It has been proven to be effective with it’s ability to find and collect different types of data. Big data has ...

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 ...

Verily has launched a new platform for collating and analyzing biomedical data gathered from multiple sources aimed at researchers, biopharma developers and other organizations. Google’s ...

The Playbook Workflow Builder is a user-friendly platform that enables biomedical researchers to conduct complex data analyses without needing advanced programming skills, with the goal of ...

The Biomedical and Health Informatics PhD program prepares individuals to develop and apply informatics theories and tools to solve complex problems across the life sciences and health ecosystem. The ...

Biomedical research results in the collection and storage of increasingly large and complex data sets. Preserving those data so that they are discoverable, accessible, and interpretable accelerates ...

“We’re essentially building a new foundation for all of biomedical data science and biomedical informatics, in light of the transformative power of generative AI,” said Matt Might, Ph.D., Hugh Kaul ...