Not found

Stephen T. Wong, PhD

John S. Dunn, Sr. Presidential Distinguished Chair in Biomedical Engineering, Department of Systems Medicine & Bioengineering
Professor of Systems Medicine and Bioengineering, Institute for Academic Medicine
Full Member, Research Institute
Houston Methodist
Weill Cornell Medical College


stwong@houstonmethodist.org
Biography

Dr. Wong is the Founding Chairman for Department of Systems Medicine and Bioengineering, Houston Methodist Research Institute. He holds the John S. Dunn, Sr. Distinguished Endowed Chair in Biomedical Engineering; he is also a Professor of Radiology, Pathology, Laboratory Medicine, Neurology, and Neurosciences, the Associate Director of Translational Research at Methodist Cancer Center, and Chief of Medical Physics and Chief Research Information Officer at Houston Methodist Hospital. In addition, he serves as the Founding Director of the Ting Tsung and Wei Fong Chao Center for BRAIN (Bioinformatics Research and Imaging in the Neurosciences) and Founding Director of the Center for Modeling Cancer Development at Houston Methodist Research Institute. He also holds a dozen of other academic posts across institutions in Texas Medical Center as well as overseas universities and medical schools. An internationally acclaimed bioengineer and imaging scientist, Dr. Stephen Wong has led teams that developed production automation for first very large scale integration (VLSI) 1MB computer memory chip and the largest online brokerage trading system, and contributed to the first hospital-wide digital radiology image management system in US academic medical centers.

Dr. Wong has more than twenty years of research and management experience in industry and academia, including Hewlett-Packard, AT&T Bell Laboratories, the Japanese Fifth Generation Computer Systems Project, Philips Medical Systems and Royal Philips Electronics, Charles Schwab, University of California - San Francisco/Berkeley, Harvard University and The Methodist Hospital. He received his senior executive education from the MIT Sloan School of Management, Stanford University Graduate School of Business and Columbia University Graduate School of Business. He holds eight patents and has published over 300 peer-reviewed papers and four books. He also serves on and chairs NIH study panels, conference program committees, and the editorial boards of twelve scientific journals. As an international authority, he is sought as a speaker on medical imaging, systems biology, healthcare IT, drug development, biophotonics, clinical neuroscience and other related topics.

Description of Research

Dr. Wong's research focuses on understanding health and disease from a systems perspective in order to generate cost-effective strategies and solutions for disease management. His research approaches combine both experimental and high throughput biology with rigorous computational, bioinformatics, biophysics, and imaging methods to achieve a deep understanding of the functions of each component in biological systems and integration of them with multilevel systems analysis. For example, the consequences of genetic variation, cell-cell interactions and environmental factors are included to reflect the circumstances and microenvironments of the disease condition. Current research projects include pathway modeling and high throughput phenotyping approaches for target discovery and drug repurposing in combating neurological disorders and cancer, and for understanding the mechanisms of these diseases. Additional projects include reformulation of small molecule drugs using chemical biology approaches, the development of point-of-care molecular diagnosis and monitoring devices using biophotonics and nanotechnology techniques, and the development of label-free molecular image-guided cancer therapy platforms.

Areas Of Expertise

Biological and medical imaging Bioinformatics Systems biology Drug repositioning Drug combinations Image-guided therapy Translational biophotonics Molecular imaging Diagnosis Mechanisms of cancer Mechanisms of neurological disorders
Education & Training

, Japan Science and Technology Agency
, Lehigh University
, National Science Foundation, ICOT, The Fifth Generation Computer Systems Project, MITI, Tokyo
Publications

Technical pitfalls of signal truncation in perfusion MRI of glioblastoma
Wong, KK , Fung, SH , New, PZ & Wong, STC 2016, Frontiers in Neurology, vol 7, no. AUG, 121, pp. 121. DOI:

Technical pitfalls of signal truncation in perfusion MRI of glioblastoma
Wong, KK, Fung, SH, New, PZ & Wong, STC 2016, Frontiers in Neurology, vol 7, no. AUG, 121. DOI:

Dual CARS and SHG image acquisition scheme that combines single central fiber and multimode fiber bundle to collect and differentiate backward and forward generated photons
Weng, S, Chen, X, Xu, X, Wong, KK & Wong, STC 2016, Biomedical Optics Express, vol 7, no. 6, pp. 2202-2218. DOI:

Cell type-dependent Erk-Akt pathway crosstalk regulates the proliferation of fetal neural progenitor cells
Rhim, JH, Luo, X, Gao, D, Xu, X, Zhou, T, Li, F, Wang, P, Wong, STC & Xia, X 2016, Scientific Reports, vol 6, 26547. DOI:

When discriminative K-means meets Grassmann manifold: Disease gene identification via a general multi-view clustering method
Li, D, Wang, L, Xue, Z & Wong, STC 2016, . in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455910, IEEE, pp. 364-367, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24-27 February. DOI:

Data security and privacy management in healthcare applications and clinical data warehouse environment
Puppala, M, He, T, Yu, X, Chen, S, Ogunti, R & Wong, STC 2016, . in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455821, IEEE, pp. 5-8, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24-27 February. DOI:

A smartphone app framework for segmented cancer care coordination
He, T, Ogunti, R, Puppala, M, Chen, S, Yu, X, Mancuso, JJ & Wong, STC 2016, . in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455912, IEEE, pp. 372-375, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24-27 February. DOI:

DrugMoaMiner: A computational tool for mechanism of action discovery and personalized drug sensitivity prediction
Li, F, Wang, L, Kong, R, Sheng, J, Cao, H, Mancuso, J, Xia, X, Stephan, C & Wong, STC 2016, . in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455911, IEEE, pp. 368-371, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24-27 February. DOI:

Welcome message: 3rd IEEE EMBS International Conference on Biomedical and Health Informatics
Wong, STC & Sloane, E 2016, . in Journal of Biomedical and Health Informatics., 7455809, IEEE, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24-27 February. DOI:

A three-dimensional medical image segmentation app using graphic theory
He, T, Xue, Z & Wong, ST 2016, . in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455886, IEEE, pp. 268-271, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24-27 February. DOI:

In Vivo Visualization and Characterization of Epithelial-Mesenchymal Transition in Breast Tumors
Zhao, Z, Zhu, X, Cui, K, Mancuso, J, Federley, R, Fischer, K, Teng, GJ, Mittal, V, Gao, D, Zhao, H & Wong, STC 2016, Cancer Research, vol 76, no. 8, pp. 2094-2104. DOI:

Astrocytic Tissue Factor Plays An Important Role In Regulation Of CSF Circulation And Control Of Blood Spread Following Subarachnoid Hemorrhage
Golanov, E, Bovshik, E, Foster, C, Zhang, YJ, Wong, K, Wong, ST & Britz, GW 2016, pp. 636.

Targeting stromal-cancer cell crosstalk networks in ovarian cancer treatment
Yeung, TL, Leung, CS, Li, F, Wong, SST & Mok, SC 2016, Biomolecules, vol 6, no. 1, 03, pp. 2-19. DOI:

Image-guided biopsy in the era of personalized cancer care: Proceedings from the society of interventional radiology research consensus panel
Tam, AL, Lim, HJ, Wistuba, II, Tamrazi, A, Kuo, MD, Ziv, E, Wong, S, Shih, AJ, Webster, RJ, Fischer, GS, Nagrath, S, Davis, SE, White, SB & Ahrar, K 2016, Journal of Vascular and Interventional Radiology, vol 27, no. 1, pp. 8-19. DOI:

Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods
Patel, TA, Puppala, M, Ogunti, RO, Ensor, Jr. JE, He, T, Shewale, JB, Ankerst, DP, Kaklamani, VG, Rodriguez, AA, Wong, STC & Chang, JC 2016, Cancer. DOI:

Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods
Patel, TA, Puppala, M, Ogunti, RO, Ensor, JE, He, T, Shewale, JB, Ankerst, DP, Kaklamani, VG, Rodriguez, AA, Wong, STC & Chang, JC 2016, Cancer. DOI:

Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods
Patel, TA, Puppala, M, Ogunti, RO, Ensor, JE, He, T, Shewale, JB, Ankerst, DP, Kaklamani, VG, Rodriguez, AA, Wong, STC & Chang, JC 2016, Cancer. DOI:

Transductive maximum margin classification of ADHD using resting state fMRI
Wang, L, Li, D, He, T, Wong, STC & Xue, Z 2016, . in Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. vol. 10019 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10019 LNCS, Springer Verlag, pp. 221-228, 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, Greece, 17-17 October. DOI:

METEOR: An Enterprise Health Informatics Environment to Support Evidence-Based Medicine
Puppala, M, He, T, Chen, S, Ogunti, R, Yu, X, Li, F, Jackson, R & Wong, STC 2015, IEEE Transactions on Biomedical Engineering, vol 62, no. 12, 7137654, pp. 2776-2786. DOI:

Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance
Fischer, KR, Durrans, A, Lee, S, Sheng, J, Li, F, Wong, STC, Choi, H, El Rayes, T, Ryu, S, Troeger, J, Schwabe, RF, Vahdat, LT, Altorki, NK, Mittal, V & Gao, D 2015, Nature, vol 527, no. 7579, pp. 472-6. DOI: