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Stephen T. Wong, PhD

John S. Dunn, Sr. Presidential Distinguished Chair in Biomedical Engineering, Full Member, Research Institute
Professor of Computer Science and Bioengineering in Oncology, Academic Institute
Associate Director, Cores, Biostatistics and Bioinformatics
Houston Methodist
Weill Cornell Medical College


stwong@houstonmethodist.org
Biography

Dr. Wong 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 Houston 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 many 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

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

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

Guest Editorial
Tseng, VS, Wong, STC, Cook, DJ & Liu, J 2020, , IEEE Computational Intelligence Magazine, vol. 15, no. 4, 9225205, pp. 8-9. https://doi.org/10.1109/MCI.2020.3019872

Computational Intelligence Techniques for Combating COVID-19: A Survey
Tseng, VS, Jia-Ching Ying, J, Wong, STC, Cook, DJ & Liu, J 2020, , IEEE Computational Intelligence Magazine, vol. 15, no. 4, 9225219, pp. 10-22. https://doi.org/10.1109/MCI.2020.3019873

ITLN1 modulates invasive potential and metabolic reprogramming of ovarian cancer cells in omental microenvironment
Au-Yeung, CL, Yeung, TL, Achreja, A, Zhao, H, Yip, KP, Kwan, SY, Onstad, M, Sheng, J, Zhu, Y, Baluya, DL, Co, NN, Rynne-Vidal, A, Schmandt, R, Anderson, ML, Lu, KH, Wong, STC, Nagrath, D & Mok, SC 2020, , Nature Communications, vol. 11, no. 1, 3546. https://doi.org/10.1038/s41467-020-17383-2

Emerging treatment strategies for breast cancer brain metastasis: from translational therapeutics to real-world experience
Ren, D, Cheng, H, Wang, X, Vishnoi, M, Teh, BS, Rostomily, R, Chang, JC, Wong, ST & Zhao, H 2020, , Therapeutic Advances in Medical Oncology, vol. 12. https://doi.org/10.1177/1758835920936151

OCIAD1 contributes to neurodegeneration in Alzheimer’s disease by inducing mitochondria dysfunction, neuronal vulnerability and synaptic damages
Li, X, Wang, L, Cykowski, MD, He, T, Liu, T, Chakranarayan, J, Rivera, A, Zhao, H, Powell, SZ-E, Xia, W & Wong, ST 2020, , EBioMedicine, vol. 51, 102569. https://doi.org/10.1016/j.ebiom.2019.11.030

Differential contributions of pre- And post-EMT tumor cells in breast cancer metastasis
Lourenco, AR, Ban, Y, Crowley, MJ, Lee, SB, Ramchandani, D, Du, W, Elemento, O, George, JT, Jolly, MK, Levine, H, Sheng, J, Wong, ST, Altorki, NK & Gao, D 2020, , Cancer research, vol. 80, no. 2, pp. 163-169. https://doi.org/10.1158/0008-5472.CAN-19-1427

Toward Rapid Stroke Diagnosis with Multimodal Deep Learning
Yu, M, Cai, T, Huang, X, Wong, K, Volpi, J, Wang, JZ & Wong, STC 2020, . in AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, D Racoceanu & L Joskowicz (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12263 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 616-626, 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, Lima, Peru, 10/4/20. https://doi.org/10.1007/978-3-030-59716-0_59

A Phase II Study of the Efficacy and Safety of Chloroquine in Combination With Taxanes in the Treatment of Patients With Advanced or Metastatic Anthracycline-refractory Breast Cancer
Anand, K, Niravath, PA, Patel, T, Ensor, J, Rodriguez, AA, Boone, T, Wong, ST & Chang, JC 2020, , Clinical Breast Cancer. https://doi.org/10.1016/j.clbc.2020.09.015

Sepsis outcomes in solid organ transplant recipients
Gotur, DB, Masud, FN, Ezeana, CF, Nisar, T, Paranilam, J, Chen, S, Puppala, M, Wong, ST & Zimmerman, JL 2019, , Transplant Infectious Disease, vol. 22, no. 1, e13214. https://doi.org/10.1111/tid.13214

Anticancer immunotherapy by MFAP5 blockade inhibits fibrosis and enhances chemosensitivity in ovarian and pancreatic cancer
Yeung, TL, Leung, CS, Yip, KP, Sheng, J, Vien, L, Bover, LC, Birrer, MJ, Wong, STC & Mok, SC 2019, , Clinical Cancer Research, vol. 25, no. 21, pp. 6417-6428. https://doi.org/10.1158/1078-0432.CCR-19-0187

Imatinib revives the therapeutic potential of metformin on ewing sarcoma by attenuating tumor hypoxic response and inhibiting convergent signaling pathways
Nan, X, Wang, J, Cheng, H, Yin, Z, Sheng, J, Qiu, B, Lau, CC, Yustein, JT, Zhao, H & Wong, STC 2019, , Cancer Letters. https://doi.org/10.1016/j.canlet.2019.10.034

Driver network as a biomarker: Systematic integration and network modeling of multi-omics data to derive driver signaling pathways for drug combination prediction
Huang, L, Brunell, D, Stephan, C, Mancuso, J, Yu, X, He, B, Thompson, TC, Zinner, R, Kim, J, Davies, P & Wong, STC 2019, , Bioinformatics, vol. 35, no. 19, pp. 3709-3717. https://doi.org/10.1093/bioinformatics/btz109

A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity
Min, H, Xia, L, Han, J, Wang, X, Pan, Q, Fu, H, Wang, H, Wong, ST & Li, H 2019, , Pattern Recognition, vol. 91, pp. 69-85. https://doi.org/10.1016/j.patcog.2019.02.009

A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer
He, T, Puppala, M, Ezeana, CF, Huang, Y-S, Chou, P-H, Yu, X, Chen, S, Wang, L, Yin, Z, Danforth, RL, Ensor, J, Chang, J, Patel, T & Wong, STC 2020, , JCO Clinical Cancer Informatics, vol. 3, pp. 1-12. https://doi.org/10.1200/CCI.18.00121

Epithelial-Mesenchymal Plasticity in Organotropism Metastasis and Tumor Immune Escape
Nan, X, Wang, J, Liu, HN, Wong, STC & Zhao, H 2019, journal of clinical medicine, vol. 8, no. 5. https://doi.org/10.3390/jcm8050747

An image informatics pipeline for imaging mass cytometry to characterize the immune landscape in pre-and on-Treatment immune therapy and its application in recurrent platinium-resistant epithelial ovarian cancer
Zhu, Y, Yeung, TL, Sheng, J, Hinchcliff, EM, Burks, JK, Jazaeri, AA, Mok, SC & Wong, ST 2019, . in 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings., 8834496, Institute of Electrical and Electronics Engineers Inc. 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019, Chicago, United States, 5/19/19. https://doi.org/10.1109/BHI.2019.8834496

Clusterin impairs hepatic insulin sensitivity and adipocyte clusterin associates with cardiometabolic risk
Bradley, D, Blaszczak, A, Yin, Z, Liu, J, Joseph, JJ, Wright, V, Anandani, K, Needleman, B, Noria, S, Renton, D, Yearsley, M, Wong, STC & Hsueh, WA 2019, , Diabetes care, vol. 42, no. 3, pp. 466-475. https://doi.org/10.2337/dc18-0870

Prognostic gene discovery in glioblastoma patients using deep learning
Wong, KK, Rostomily, R & Wong, STC 2019, , Cancers, vol. 11, no. 1, 53. https://doi.org/10.3390/cancers11010053

Mammary precancerous stem and non-stem cells evolve into cancers of distinct subtypes
Bu, W, Liu, Z, Jiang, W, Nagi, C, Huang, S, Edwards, DP, Jo, E, Mo, Q, Creighton, CJ, Hilsenbeck, SG, Leavitt, AD, Lewis, MT, Wong, ST & Li, Y 2019, , Cancer research, vol. 79, no. 1, pp. 61-71. https://doi.org/10.1158/0008-5472.CAN-18-1087

NIHSS Discrepancy and Reliability in Stroke Triage
Cummock, J, Wong, K, Wong, ST & Volpi, J 2019, , Neurovascular and Neurodegenerative Diseases, Paris, France, 10/28/19 - 10/30/19.