Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics. |Medium Read

Bacteriophages provide a how-to for taking over bacteria.|Medium Read

A new method could replace trial and error drug development|Medium Read

Synthetic scaffolding could detect multiple types of cancers before they start to spread.|Medium Read

Low-cost sensors could one day enable patients to log exercise and track progress in a smartphone app|Medium Read

A lack of consent plays a role in preventing donation from up to 40% of otherwise eligible donors. |Medium Read

While previous structures guessed at the environment that cells would want, the new design lets the cells build to their own specifications.|Medium Read

Seven U.S. research institutions look to build synthetic cells|Medium Read

Leia Stirling will join the U-M IOE faculty as an associate professor this fall. |Short Read

The device could also be used to detect other diseases such as pneumonia, sepsis, asthma and others associated with lung or systemic blood inflammation.|Medium Read

A Q&A with biomedical engineering professor Jan Stegemann, whose work in mice shows the promise of ‘microtissues.’|Medium Read

Wiens is transitioning to Co-Director from a successful role as a Co-Lead for Precision Health’s Data Analytics & IT Workgroup, which expanded access to data and research tools across the university.|Short Read