“We’re at a transformative moment in the biomedical sciences,” says James Lu, an AI scientist at the Agency for Science, Technology and Research Bioinformatics Institute (A*STAR BII) in Singapore.

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 ...

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 ...

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 ...

A powerful new software platform is set to transform biomedical research by allowing scientists to conduct complex and customized data analyses without advanced programming skills. The web-based ...

Navigating career choices in science involves considering data science and biomedical science, both rapidly growing fields. Data scientists analyze data to guide decisions across industries, while ...