AI for life science

The Division of Biomedical Engineering runs several different projects in the field of AI for life science.

We are developing high-throughput microfluidic systems capable of generating large data sets from single-cell assays and using other large data sets obtained from multimodal monitoring of the parameter space to optimize material fabrication processes and component design.

Research groups

EMBLA

Examples of research projects in the field of AI for life science

Below you can find the projects carried out by individual researchers within our Division that are addressing this global challenge:

Design and fabrication of a microfluidic device to study the role of fluid shear stress in cellular physiology

Design and fabrication of micro barrier entrapped 3D cell cultures platform to study gradient-dependent modulation in cellular response