Interdisciplinary Health

The open-source tool could help scientists evaluate potential stroke therapies more reliably.

STORY and VIDEO: USC researchers have developed custom, 3D-printed MRI sensors that take minutes to make at a fraction of the cost and give doctors clearer views of small organs in infants and children.

The largest diffusion MRI network analysis of bipolar disorder to date reveals subtle but widespread differences in brain communication pathways involved in emotion, reward and cognitive control.

The researcher is building evaluation methods for AI in healthcare. Her latest project asked 100 mental health professionals to stress-test AI chatbots on real patient questions.

Researchers from USC and Caltech aim to develop a tiny sensor and drug delivery system, implanted near the eye, with dry eye disease as its first target.

A team of researchers from USC, Caltech and UC Irvine tested a full “bionic suit” with a patient for the first time. Early results are promising.

Ryan Shean seeks to enhance glaucoma diagnosis through investigations at the Keck School of Medicine of USC.

Rahul Dhodapkar’s app, StrabScan, automates the measurement of strabismus (eye misalignment).

A new National Institutes of Health grant supports the next phase of a national effort to use AI, brain imaging, genetics and data to better classify Alzheimer’s and related diseases, predict progression and identify new treatment targets.

Building on decades of collaboration between the USC Viterbi School of Engineering and the Keck School of Medicine of USC, the department reimagines the expansion of biomedical engineering into medicine.