Stephen T. Wong

Stephen T. Wong, PhD

Professor of Computer Science and Bioengineering in Radiology, Academic Institute
John S. Dunn Presidential Distinguished Chair in Biomedical Engineering, Full Member, Research Institute
Associate Director, Shared Resources, Dr. Mary and Ron Neal Cancer Center
Houston Methodist
Weill Cornell Medical College


stwong@houstonmethodist.org
Biography

Dr. Wong holds the John S. Dunn Presidential Distinguished Chair in Biomedical Engineering and is a Professor of Radiology and Medicine with Tenure and Chief of Medical Physics at Houston Methodist. He also serves as a Professor of Radiology, Neurosciences, Pathology and Laboratory Medicine at Weill Cornell Medicine, Cornell University, along with professorships at Texas A&M University, Baylor College of Medicine, University of Texas MD Anderson Cancer Center, Rice University, the University of Texas Health Houston, and the University of Houston. His laboratory integrates engineering with biology and medicine to elucidate disease origins and mechanisms, leading to the discovery of new drugs and the development of medical devices aimed at improving diagnosis, treatment, and prevention, particularly for cancer and neurological disorders. 

Steve is renowned for his groundbreaking contributions across multiple disciplines, including medical imaging, life sciences, finance, and technology. At Bell Labs, he contributed to the development of world’s first VLSI MB memory chips. At Hewlett-Packard, he played a key role in the automation of optoelectronics semiconductor production. While at UCSF, he was instrumental in developing the world’s first hospital-wide Picture Archiving and Communication Systems (PACS), revolutionizing radiology practice. During the dotcom era, Wong led the development of the world’s largest web trading site at Charles Schwab. At Philips Healthcare, he spearheaded the creation of the first object-oriented electronic medical record and the largest Radiology Information System in Europe, as well as other clinical imaging products. At Harvard Medical School, he established the Bioinformatics Center for neurodegeneration research and pioneered machine learning and systems biology for drug discovery. He also founded the Center for Functional and Molecular Imaging at Brigham and Women’s Hospital, creating their first cyclotron and translational imaging facilities.

At Houston Methodist, Wong founded several key centers and labs, including the Division of Shared Resources at Houston Methodist Neal Cancer Center, the Ting Tsung and Wei Fong Chao Center for BRAIN, the Advanced Cellular and Tissue Microscopy Core, the Translational Biophotonics Lab, the Center for Modeling Cancer Development, the AI in Innovative Medicine lab, and Systems Medicine and Bioengineering Department. His research has been consistently funded by NIH for three decades. He has published over 500 peer-reviewed scientific papers and five books. He has trained and mentored over 170 Ph.D., MD/Ph.D., and postdocs, with four now holding endowed chairs or distinguished professor positions.

Dr. Wong’s scientific contributions are recognized by his fellowship in several esteemed organizations, including IEEE, AIMBE, IAMBE, ACMI, AMIA, Optica, and AAIA. Additionally, he is a registered professional engineer (PE) and received senior executive education from Stanford Graduate School of Business, MIT Sloan School of Management, and Columbia Business School. After a career in finance during the dotcom era, Wong returned to academic medicine, dedicating his efforts to solving complex disease and healthcare challenges.

Description of Research

Dr. Wong's research focuses on a systems-based understanding of health and disease to develop cost-effective strategies for disease management and healthcare delivery. The mission of his lab is to engineer medicine and biology, discovering novel drugs and biomarkers and developing advanced diagnostic and therapeutic devices. The research emphasizes improving the detection, diagnosis, treatment, and prevention of cancer, neurological disorders, and metabolic diseases. Current projects include understanding and targeting micro- and macroenvironments of cancer and Alzheimer’s disease, applying spatial and systems biology methods for drug and biomarker discovery in cancer and neurodegenerative diseases, creating label-free point-of-care molecular diagnosis and interventional devices, and developing novel artificial intelligence applications to transform the triage, diagnosis, treatment of strokes and related disorders.  

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

Therapeutic drug monitoring in inflammatory bowel disease patients on vedolizumab
Ansari, M, Glassner, K, Irani, M, Saleh, A, Wang, L, Ezeana, C, Wong, S, Perry, C & Abraham, B 2024, , Journal of Digestive Diseases, vol. 25, no. 2, pp. 91-99. https://doi.org/10.1111/1751-2980.13261

Prevalence of Delirium After Abdominal Surgery and Association With Ketamine: A Retrospective, Propensity-Matched Cohort Study
Faisal, H, Qamar, F, Hsu, ES, Xu, J, Lai, EC, Wong, ST & Masud, FN 2024, , Critical care explorations, vol. 6, no. 1, pp. E1032. https://doi.org/10.1097/CCE.0000000000001032

CD4+ T cell immunity is dependent on an intrinsic stem-like program
Zou, D, Yin, Z, Yi, SG, Wang, G, Guo, Y, Xiao, X, Li, S, Zhang, X, Gonzalez, NM, Minze, LJ, Wang, L, Wong, STC, Osama Gaber, A, Ghobrial, RM, Li, XC & Chen, W 2024, , Nature immunology, vol. 25, no. 1, pp. 66-76. https://doi.org/10.1038/s41590-023-01682-z

Label-free optical imaging for brain cancer assessment
Raghunathan, R, Vasquez, M, Zhang, K, Zhao, H & Wong, STC 2024, , Trends in Cancer, vol. 10, no. 6, pp. 557-570. https://doi.org/10.1016/j.trecan.2024.03.005

Digital neurology: Personalizing diagnosis and treatment
Hodics, TM, Cole, D, Volpi, JJ, Wong, ST, Derry, PJ & Kent, TA 2024, . in Comprehensive Precision Medicine, First Edition, Volume 1-2. vol. 1, Elsevier, pp. 607-617. https://doi.org/10.1016/B978-0-12-824010-6.00078-2

Effect of the ROCK inhibitor fasudil on the brain proteomic profile in the tau transgenic mouse model of Alzheimer's disease
Collu, R, Yin, Z, Giunti, E, Daley, S, Chen, M, Morin, P, Killick, R, Wong, STC & Xia, W 2024, , Frontiers in Aging Neuroscience, vol. 16, 1323563. https://doi.org/10.3389/fnagi.2024.1323563

Life-Course Brain Health as a Determinant of Late-Life Mental Health: American Association for Geriatric Psychiatry Expert Panel Recommendations
Eyre, HA, Stirland, LE, Jeste, DV, Reynolds, CF, Berk, M, Ibanez, A, Dawson, WD, Lawlor, B, Leroi, I, Yaffe, K, Gatchel, JR, Karp, JF, Newhouse, P, Rosand, J, Letourneau, N, Bayen, E, Farina, F, Booi, L, Devanand, DP, Mintzer, J, Madigan, S, Jayapurwala, I, Wong, STC, Falcoa, VP, Cummings, JL, Reichman, W, Lock, SL, Bennett, M, Ahuja, R, Steffens, DC, Elkind, MSV & Lavretsky, H 2023, , American Journal of Geriatric Psychiatry, vol. 31, no. 12, pp. 1017-1031. https://doi.org/10.1016/j.jagp.2023.09.013

Detecting Wilson's disease from unstructured connected speech: An embedding-based approach augmented by attention and bi-directional dependency
Wong, ST, Zhang, Z, Li-Zhuang Yang, L-Z, Wang, X, Wang, H & Li, H 2024, , Elsevier Speech Communication, vol. 156, 103011. https://doi.org/10.1016/j.specom.2023.103011

Translational strategies and systems biology insights for blood-brain barrier opening and delivery in brain tumors and Alzheimer's disease
Song, G, Plumlee, P, Ahn, JY, Wong, STC & Zhao, H 2023, , Biomedicine and Pharmacotherapy, vol. 167, 115450, pp. 115450. https://doi.org/10.1016/j.biopha.2023.115450

A Deep Learning Decision Support Tool to Improve Risk Stratification and Reduce Unnecessary Biopsies in BI-RADS 4 Mammograms
Ezeana, CF, He, T, Patel, TA, Kaklamani, V, Elmi, M, Brigmon, E, Otto, PM, Kist, KA, Speck, H, Wang, L, Ensor, J, Shih, YCT, Kim, B, Pan, IW, Cohen, AL, Kelley, K, Spak, D, Yang, WT, Chang, JC & Wong, STC 2023, , Radiology: Artificial Intelligence, vol. 5, no. 6, e220259, pp. e220259. https://doi.org/10.1148/ryai.220259

Systems and Methods for Whole Brain Net Water Uptake Imaging in Human using Non-Contrast CT (Filed using the same title for potential merging in the PCT filing 18/325,602)
Wong, K, Wong, ST & Volpi, JJ Oct. 10 2023, .

AI-Generated Net Water Uptake Map as Tissue Clock in Visualizing Potentially Reversible Ischemic Stroke on Non-Contrast CT Scans
Ghosh, R, Wong, K, Volpi, JJ, Wong, ST & Hodics, T 2023, .

Generation of Whole Brain Net Water Uptake Map Using Non-contrast Computed Tomography
Wong, K, Hodics, T, Ghosh, R, Volpi, JJ & Wong, ST 2023, , 15th World Stroke Congress, Toronto, Canada, 10/10/23 - 10/12/23.

Artificial Intelligence-Powered Acoustic Analysis System for Dysarthria Severity Assessment
Zhang, Z, Shang, X, Yang, LZ, Ai, W, Wang, J, Wang, H, Wong, STC, Wang, X & Li, H 2023, , Advanced Intelligent Systems, vol. 5, no. 10, 2300097. https://doi.org/10.1002/aisy.202300097

The promise of digital healthcare technologies
Wong, ST, Yeung, AWK, Torkamani, A, Butte, AJ, Glicksberg, BS, Schuller, B, Rodriquez, B, Ting, DSW, Bates, D, Schaden, E, Peng, H, Willschke, H, van der Laak, J, Car, J, Rahimi, K, Celi, LA, Banach, M, Kletecka-Pulker, M, Kimberger, O, Eils, R, Eyre, HA, Shariful Islam, SM, Wong, TY, Gao, W, Brunak, S & Atanasov, AG 2023, , Biotechnology Advances, vol. 11, 1196596, pp. 1196596. https://doi.org/10.3389/fpubh.2023.1196596

BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior
Ou, Y, Huang, SX, Wong, KK, Cummock, J, Volpi, J, Wang, JZ & Wong, ST 2023, , Computerized Medical Imaging and Graphics, vol. 107, 102236, pp. 102236. https://doi.org/10.1016/j.compmedimag.2023.102236

Interferon-gamma is quintessential for NOS2 and COX2 expression in ER- breast tumors that lead to poor outcome
Cheng, RYS, Ridnour, LA, Wink, AL, Gonzalez, AL, Femino, EL, Rittscher, H, Somasundaram, V, Heinz, WF, Coutinho, L, Rangel, MC, Edmondson, EF, Butcher, D, Kinders, RJ, Li, X, Wong, STC, McVicar, DW, Anderson, SK, Pore, M, Hewitt, SM, Billiar, TR, Glynn, SA, Chang, JC, Lockett, SJ, Ambs, S & Wink, DA 2023, , Cell Death and Disease, vol. 14, no. 5, 319, pp. 319. https://doi.org/10.1038/s41419-023-05834-9

Spatial Transcriptomics Depict Ligand-Receptor Cross-talk Heterogeneity at the Tumor-Stroma Interface in Long-Term Ovarian Cancer Survivors
Ferri-Borgogno, S, Zhu, Y, Sheng, J, Burks, JK, Gomez, JA, Wong, KK, Wong, STC & Mok, SC 2023, , Cancer research, vol. 83, no. 9, pp. 1503-1516. https://doi.org/10.1158/0008-5472.CAN-22-1821

Exosomal non-coding RNAs as a biomarker to improve early ovarian cancer detection.
Wong, ST, Sheng, J, Mok, S, Cao, Y & Han, C 2023, , AACR Annual Meeting 2023, Orlando, United States, 4/14/23 - 4/19/23. https://doi.org/10.1158/1538-7445.AM2023-3333

Reliability of the National Institutes of Health (NIH) Stroke Scale Between Emergency Room and Neurology Physicians for Initial Stroke Severity Scoring
Cummock, JS, Wong, KK, Volpi, JJ & Wong, ST 2023, , Cureus, vol. 15, no. 4, pp. e37595. https://doi.org/10.7759/cureus.37595