Jenghwa Chang

Papers

Total Citations

H-Index

About

Jenghwa Chang is a biomedical engineer and researcher whose work sits at the intersection of medical robotics, imaging technology, and preclinical cancer research. His most significant contributions center on the development of image-guided robotic systems designed for small animal research, a specialized field that demands exceptional precision at millimeter scales. Chang pioneered the design and validation of robotic platforms that integrate seamlessly with multiple imaging modalities, enabling researchers to perform highly targeted experimental procedures on rodent models with a level of accuracy previously difficult to achieve manually. His most impactful work, garnering 34 citations, demonstrated a compelling clinical application of this technology: using PET imaging of tumor hypoxia — specifically fluoromisonidazole (FMISO) — to guide robotic probes into precise intratumoral locations for direct oxygen tension measurements. This contribution bridges advanced molecular imaging with physical tissue interrogation, offering valuable tools for understanding the hypoxic microenvironments that drive tumor aggressiveness and treatment resistance. His earlier foundational papers on the image-guided robot system itself (2006–2007) established the engineering framework that made such applications possible. Together, Chang's body of work represents a meaningful advance in translational oncology research infrastructure, equipping scientists with sophisticated tools to better characterize and study solid tumors.