GE's non-invasive SMS-EIT prototype system provides higher signal-to-noise ratio and greater sensitivity to continuously image pulmonary perfusion and ventilation.

Low-cost manufacturing platform for disposable, hospital-grade multi-parameter clinical monitoring devices.

Hydration status monitoring based on wearable sweat-based sensing

Translating the promise of AR to the reality of industry

Adaptive AI in the virtual flesh... deploying virtual agents to learn how to convince you to take positive actions

In 1990 Dr. Tu joined Sony Research in Tokyo Japan, where he developed a number of computer vision algorithms for man-machine interfaces. While at Oxford University, his research was devoted to the development of computer vision methods for the autumatic analysis of seismic imagery.

Real-time, sub-micron, 3D visualizations of microstructure to create and validate damage accumulation models.

Combining genetically variable peptides and DNA profiling to enable single contributor identification via proteomics for forensic applications.

This project aims to use quantitative-ultrasound (QUS) methods for detecting metastases in lymph nodes in a broad range of cancer types.

Cancer cell biology is highly complex, comprising multiple cell types in different metabolic states, and is spatially heterogeneous. Over the last 10 years, our GE Research multi-disciplinary team has developed a multiplexed imaging and cell level analytics technology that allows analysis of up to 60 protein biomarkers in every cell in a 5 um FFPE tissue section (Cell DIVE™).