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Stephen T.C. Wong, PhD

  • Professor of Computer Science, Systems Medicine and Bioengineering in Oncology, Houston Methodist Research Institute
  • Associate Director, Cores, Biostatistics and Bioinformatics at the Houston Methodist Cancer Center
  • Houston Methodist computer scientist, bioengineer and systems biologist
  • John S. Dunn, Sr. Presidential Distinguished Chair in Biomedical Engineering, Houston Methodist Research Institute
Media Contact: Lisa Merkl , 832.667.5916

Stephen T.C. Wong, PhD

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Media Contact: Lisa Merkl , 832.667.5916

Areas of Expertise

  • Artificial Intelligence (AI)
  • Bioinformatics
  • Biological and medical imaging
  • Clinical neuroscience
  • Digital health
  • Drug combinations
  • Drug discovery
  • Drug repurposing / Drug repositioning
  • Health technology
  • Image-guided therapy
  • Mechanisms of cancer
  • Mechanisms of neurological disorders
  • Molecular imaging
  • Systems biology
  • Translational biophotonics

Credentials

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

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

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

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

Systematic Identification of Druggable Epithelial-Stromal Crosstalk Signaling Networks in Ovarian Cancer
Yeung, TL, Sheng, J, Leung, CS, Li, F, Kim, J, Ho, SY, Matzuk, MM, Lu, KH, Wong, ST & Mok, SC 2019, Journal of the National Cancer Institute, vol. 111, no. 3, pp. 272-282. https://doi.org/10.1093/jnci/djy097

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


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.

Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm
Wang, W, Liu, J, Wang, T, Hu, Z, Xia, L, Wang, H, Yang, L, Wong, STC, Zhang, X & Li, H 2019, . in D Zhu, J Yan, H Huang, L Shen, PM Thompson, C-F Westin, X Pennec, S Joshi, M Nielsen, S Sommer, T Fletcher & S Durrleman (eds), Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11846 LNCS, Springer, pp. 3-11, 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2019, Shenzhen, China, 10/17/19. https://doi.org/10.1007/978-3-030-33226-6_1

The Modulatory Role of MicroRNA-873 in the Progression of KRAS-Driven Cancers
Mokhlis, HA, Bayraktar, R, Kabil, NN, Caner, A, Kahraman, N, Rodriguez-Aguayo, C, Zambalde, EP, Sheng, J, Karagoz, K, Kanlikilicer, P, Abdel Aziz, AAH, Abdelghany, TM, Ashour, AA, Wong, S, Gatza, ML, Calin, GA, Lopez-Berestein, G & Ozpolat, B 2019, , Molecular Therapy - Nucleic Acids, vol. 14, pp. 301-317. https://doi.org/10.1016/j.omtn.2018.11.019

Induction of N-Ras degradation by flunarizine-mediated autophagy
Zheng, ZY, Li, J, Li, F, Zhu, Y, Cui, K, Wong, ST, Chang, EC & Liao, YH 2018, , Scientific Reports, vol. 8, no. 1, 16932. https://doi.org/10.1038/s41598-018-35237-2

A Behavior-Modification, Clinical-Grade Mobile Application to Improve Breast Cancer Survivors' Accountability and Health Outcomes
Stubbins, R, He, T, Yu, X, Puppala, M, Ezeana, CF, Chen, S, Valdivia y Alvarado, M, Ensor, J, Rodriguez, A, Niravath, P, Chang, J, Wong, STC & Patel, T 2018, JCO Clinical Cancer Informatics, no. 2, pp. 1-11. https://doi.org/10.1200/CCI.18.00054

Languages

  • English
  • Chinese (Mandarin, Cantonese, Taiwanese)
  • Japanese (limited)