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

Stephen T.C. Wong, PhD

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

Image-to-image translation of label-free molecular vibrational images for a histopathological review using the UNet+/seg-cGAN model
He, Y, Li, J, Shen, S, Liu, K, WONG, KELVINK, He, T & WONG, STEPHENTC 2022, , Biomedical Optics Express, vol. 13, no. 4, pp. 1924-1938. https://doi.org/10.1364/BOE.445319

hDirect-MAP: projection-free single-cell modeling of response to checkpoint immunotherapy
Lu, Y, Xue, G, Zheng, N, Han, K, Yang, W, Wang, R-S, Wu, L, Miller, LD, Pardee, T, Triozzi, PL, Lo, H-W, Watabe, K, Wong, STC, Pasche, BC, Zhang, W & Jin, G 2022, , Briefings in bioinformatics, vol. 23, no. 2. https://doi.org/10.1093/bib/bbab575

HDirect-MAP: Projection-free single-cell modeling of response to checkpoint immunotherapy
Lu, Y, Xue, G, Zheng, N, Han, K, Yang, W, Wang, RS, Wu, L, Miller, LD, Pardee, T, Triozzi, PL, Lo, HW, Watabe, K, Wong, STC, Pasche, BC, Zhang, W & Jin, G 2022, , Briefings in bioinformatics, vol. 23, no. 2, bbab575. https://doi.org/10.1093/bib/bbab575


Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information
Huang, J, Ding, W, Lv, J, Yang, J, Dong, H, Del Ser, J, Xia, J, Ren, T, Wong, ST & Yang, G 2022, , Applied Intelligence. https://doi.org/10.1007/s10489-021-03092-w

Affective Computing for Late-Life Mood and Cognitive Disorders
Smith, E, Storch, EA, Vahia, I, Wong, STC, Lavretsky, H, Cummings, JL & Eyre, HA 2021, , Frontiers in Psychiatry, vol. 12, 782183. https://doi.org/10.3389/fpsyt.2021.782183


Retrospective study of deep learning to reduce noise in non-contrast head CT images
Wong, KK, Cummock, JS, He, Y, Ghosh, R, Volpi, JJ & Wong, STC 2021, , Computerized Medical Imaging and Graphics, vol. 94, 101996. https://doi.org/10.1016/j.compmedimag.2021.101996

Artificial intelligence unifies knowledge and actions in drug repositioning
Yin, Z & Wong, STC 2021, , Emerging Topics in Life Sciences, vol. 5, no. 6, pp. 803-813. https://doi.org/10.1042/ETLS20210223

An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes
Yao, K, Wong, KK, Yu, X, Volpi, J & Wong, STC 2021, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2021, pp. 1727-1730. https://doi.org/10.1109/EMBC46164.2021.9629720


Artificial intelligence-augmented, label-free molecular imaging method for tissue identification, cancer diagnosis, and cancer margin detection
Li, J, Liu, J, Wang, Y, He, Y, Liu, K, Raghunathan, R, Shen, SS, He, T, Yu, X, Danforth, R, Zheng, F, Zhao, H & Wong, STC 2021, , Biomedical Optics Express, vol. 12, no. 9, pp. 5559-5582. https://doi.org/10.1364/BOE.428738

Radiation-activated secretory proteins of Scgb1a1 + club cells increase the efficacy of immune checkpoint blockade in lung cancer
Ban, Y, Markowitz, GJ, Zou, Y, Ramchandani, D, Kraynak, J, Sheng, J, Lee, SB, Wong, STC, Altorki, NK, Gao, D & Mittal, V 2021, , Nature Cancer, vol. 2, no. 9, pp. 919-931. https://doi.org/10.1038/s43018-021-00245-1

Retrospective study of deep learning denoising to improve contrast-to-noise ratio in missed hyperacute ischemic stroke lesions
Ghosh, R, Cummock, JS, Wong, K, Volpi, JJ & Wong, ST 2021, , European Stroke Organization Conference 2021, 9/1/21 - 9/3/21 pp. 1717. https://doi.org/10.1177%2F23969873211034932

The Progress of Label-Free Optical Imaging in Alzheimer’s Disease Screening and Diagnosis
Liu, K, Li, J, Raghunathan, R, Zhao, H, Li, X & Wong, STC 2021, , Frontiers in Aging Neuroscience, vol. 13, 699024. https://doi.org/10.3389/fnagi.2021.699024

Novel STAT3 small-molecule inhibitors identified by structure-based virtual ligand screening incorporating SH2 domain flexibility
Kong, R, Bharadwaj, U, Eckols, TK, Kolosov, M, Wu, H, Cruz-Pavlovich, FJS, Shaw, A, Ifelayo, OI, Zhao, H, Kasembeli, MM, Wong, STC & Tweardy, DJ 2021, , Pharmacological Research, vol. 169, 105637. https://doi.org/10.1016/j.phrs.2021.105637

Risk factors for and frequency of ct scans, steroid use, and repeat visits in inflammatory bowel disease patients seen at a single-center emergency department: A retrospective cohort study
Euers, L, Abughazaleh, S, Glassner, K, Gajula, P, Jones-Pauley, M, Ezeana, C, Puppala, M, Wang, L, Wong, S, Oglat, A, Nickerson, S & Abraham, BP 2021, , Journal of Clinical Medicine, vol. 10, no. 12, 2679. https://doi.org/10.3390/jcm10122679

The bone microenvironment invigorates metastatic seeds for further dissemination
Zhang, W, Bado, IL, Hu, J, Wan, YW, Wu, L, Wang, H, Gao, Y, Jeong, HH, Xu, Z, Hao, X, Lege, BM, Al-Ouran, R, Li, L, Li, J, Yu, L, Singh, S, Lo, HC, Niu, M, Liu, J, Jiang, W, Li, Y, Wong, STC, Cheng, C, Liu, Z & Zhang, XHF 2021, , Cell, vol. 184, no. 9, pp. 2471-2486.e20. https://doi.org/10.1016/j.cell.2021.03.011

Sio: A spatioimageomics pipeline to identify prognostic biomarkers associated with the ovarian tumor microenvironment
Zhu, Y, Ferri-Borgogno, S, Sheng, J, Yeung, TL, Burks, JK, Cappello, P, Jazaeri, AA, Kim, JH, Han, GH, Birrer, MJ, Mok, SC & Wong, STC 2021, , Cancers, vol. 13, no. 8, 1777. https://doi.org/10.3390/cancers13081777

An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer
He, T, Fong, JN, Moore, LW, Ezeana, CF, Victor, D, Divatia, M, Vasquez, M, Ghobrial, RM & Wong, STC 2021, , Computerized Medical Imaging and Graphics, vol. 89, 101894. https://doi.org/10.1016/j.compmedimag.2021.101894

Languages

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