The Georgia Tech Integrated Cancer Research Center has combined machine learning with information on blood metabolites to develop a new early diagnostic test that detects ovarian cancer with 93 percent accuracy.

Co-PI Simon Sponberg will lead the Georgia Tech contingent of researchers, which aims to understand dynamic, agile movement.

Researchers at Georgia Tech and University of Helsinki have discovered a mechanism steering the evolution of multicellular life. They identified how altered protein folding drives multicellular evolution.

Georgia Tech chemists are exploring the behavior of a complex protein associated with glaucoma — characterizing one of the largest amyloid-forming proteins to date.

The School of Biological Sciences associate professor will be digging deep into itch-sensing neural circuits to gain insights into how the sensory system is wired — and where best to treat it when things go wrong.

The team used a computational math theory to identify gene-gene interactions that may be good targets for treating basal-like cancers that are resistant to traditional hormone therapies.

Georgia Tech Researcher Simon Sponberg collaborates to ask why robotic advancements have yet to outpace animals — and look at what we can learn from biology to engineer new robotic designs.

Exercise is good for you. To understand why, MoTrPAC scientists are creating a whole-body map of molecular responses to endurance training — finding striking “all tissue effects” in a new set of studies, featured on the May cover of the journal Nature.

Han will investigate whether blocking specific neurons can help inhibit asthma — which may provide a new avenue for developing treatments.

The Office of Technology Licensing announced the latest recipients of the Tech Ready Grants, supporting Georgia Tech faculty as they advance innovative technologies toward commercialization and real-world impact.