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 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 ...

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 ...

The Synthetic hEalthcare dAta goveRnanCe Hub (SEARCH) aims to accelerate healthcare innovation by generating FAIRified synthetic data for use in AI/ML models Today sees the launch of the Synthetic ...

Can research on diseases as diverse as, for example, diabetes, cardiovascular diseases, psychiatric disorders and endometriosis be linked? The answer is yes if the research focuses on collecting and ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections—from gene functions and disease mechanisms to ...

White paper discusses how BullFrog AI’s bfPREP™ embodies data harmonization, enabling biopharma organizations to convert noisy, document-heavy data into standardized, AI-ready datasetsGAITHERSBURG, Md ...

Jonathan Wosen is STAT’s West Coast biotech & life sciences reporter. You can reach Jonathan on Signal at jwosen.27. The first year of President Trump’s second term rattled academic science, raising ...