Keeping workers safe through analytics derived from sensor data fusion & aggregation and delivered through pervasive connectivity & real-time visualization

Tube Watch is GE Healthcare’s predictive solution that is designed to remotely monitor and predict X-ray tube failures before any disruption occurs.

Dr. Al-Kofahi brings 15 years of experience in developing Artificial Intelligence (AI) and computer vision solutions for a variety of healthcare and industrial applications. He received his Ph.D in Computer Systems Engineering from Rensselaer Polytechnic Institute in 2009. During his PhD and industrial work prior to GE, he developed algorithms to analyze 2-D and 3-D biomedical images and integrated them into products used by clinical laboratory professionals and life scientists.

Developing cutting edge technologies in machine architectures, energy sources, sensing and controls for step-change in build size and speed, while assuring part quality.

Addressing the needs in this emerging immunotherapy market with the design and development of a modular platform for commercial scale manufacturing.

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™).

Innovations from diverse disciplines including wireless communications, electronics, materials science, instrumentation, embedded software, machine learning, and packaging.

Predictive Maintenance technologies aim to detect, diagnose, and predict failures and degradation in machine components prior to criticality.  The ultimate goal is to prevent downtime, identify root causes for follow-up action, and enable efficient evidence-based maintenance planning and optimization.

A Digital Twin is a digital model of an industrial asset—like a jet engine or a wind turbine. They are built by continuously collecting data off physical and virtual sensors on the asset and analyzing the data to gain unique insights about performance and operation that drive business value and outcomes.

Kicked off in 2019, the 5G Mission in Forge is focused on connecting the promise of 5G to industrial use cases. Together with our partners in the telecom industry, we have established one of the nation’s first cross-industry 5G testbeds to carry out this pioneering work.