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Zhihui Wang, PhD

Associate Research Professor of Mathematics in Medicine, Academic Institute
Associate Research Member, Research Institute
Houston Methodist
Weill Cornell Medical College


Biography

Dr. Wang is an expert at the forefront of research in the fields of computational biology, modeling-aided drug target discovery, biophysical modeling of drug transport, and multiscale cancer modeling. Dr. Wang has developed expertise in both computational and translational research, and has successfully acted as an intermediary, catalyst, and team leader at the intersection of mathematics/engineering and the biology/medical fields. This intermediary role between medical and mathematical fields is of particular importance, facilitating discoveries that are only possible through a joining of these distinct but important research fields.

Description of Research

Dr. Wang’s research spans a broad spectrum of applied mathematics, probability modeling, and systems biology and medicine. Dr. Wang’s research focuses on integrating mathematical, physical, and statistical methods with experimental investigations and patient data analysis to quantitatively study tumor progression and invasion, to help improve prediction of treatment efficacy and optimize treatment planning. Furthermore, he has been developing practical mathematical tools that can potentially be used by doctors in the clinic to predict the outcome for each individual patient prior to actual treatment. 

Publications

ncRNA therapy with miRNA-22-3p suppresses the growth of triple-negative breast cancer
Gorur, A, Bayraktar, R, Ivan, C, Mokhlis, HA, Bayraktar, E, Kahraman, N, Karakas, D, Karamil, S, Kabil, NN, Kanlikilicer, P, Aslan, B, Tamer, L, Wang, Z, Cristini, V, Lopez-Berestein, G, Calin, G & Ozpolat, B 2021, , Molecular Therapy - Nucleic Acids, vol. 23, pp. 930-943. https://doi.org/10.1016/j.omtn.2021.01.016

Erratum: A multiscale Agent-Based Model of Ductal Carcinoma in Situ (IEEE Trans. Biomed. Eng (2020) 67: 5 (1450-1461) DOI: 10.1109/TBME.2019.2938485)
Butner, JD, Fuentes, D, Ozpolat, B, Calin, GA, Zhou, X, Lowengrub, J, Cristini, V & Wang, Z 2021, , IEEE Transactions on Biomedical Engineering, vol. 68, no. 2, 9331330. https://doi.org/10.1109/TBME.2020.3044508

A mathematical model for the quantification of a patient’s sensitivity to checkpoint inhibitors and long-term tumour burden
Butner, JD, Wang, Z, Elganainy, D, Al Feghali, KA, Plodinec, M, Calin, GA, Dogra, P, Nizzero, S, Ruiz-Ramírez, J, Martin, GV, Tawbi, HA, Chung, C, Koay, EJ, Welsh, JW, Hong, DS & Cristini, V 2021, , Nature Biomedical Engineering. https://doi.org/10.1038/s41551-020-00662-0

Innate Immunity Plays a Key Role in Controlling Viral Load in COVID-19: Mechanistic Insights from a Whole-Body Infection Dynamics Model
Dogra, P, Ruiz-Ramírez, J, Sinha, K, Butner, JD, Peláez, MJ, Rawat, M, Yellepeddi, VK, Pasqualini, R, Arap, W, Sostman, HD, Cristini, V & Wang, Z 2021, , ACS Pharmacology and Translational Science, vol. 4, no. 1, pp. 248-265. https://doi.org/10.1021/acsptsci.0c00183

A mathematical model to estimate chemotherapy concentration at the tumor-site and predict therapy response in colorectal cancer patients with liver metastases
Anaya, DA, Dogra, P, Wang, Z, Haider, M, Ehab, J, Jeong, DK, Ghayouri, M, Lauwers, GY, Thomas, K, Kim, R, Butner, JD, Nizzero, S, Ramírez, JR, Plodinec, M, Sidman, RL, Cavenee, WK, Pasqualini, R, Arap, W, Fleming, JB & Cristini, V 2021, , Cancers, vol. 13, no. 3, 444, pp. 1-18. https://doi.org/10.3390/cancers13030444

Imaging-Based Subtypes of Pancreatic Ductal Adenocarcinoma Exhibit Differential Growth and Metabolic Patterns in the Pre-Diagnostic Period: Implications for Early Detection
Zaid, M, Elganainy, D, Dogra, P, Dai, A, Widmann, L, Fernandes, P, Wang, Z, Pelaez, MJ, Ramirez, JR, Singhi, AD, Dasyam, AK, Brand, RE, Park, WG, Rahmanuddin, S, Rosenthal, MH, Wolpin, BM, Khalaf, N, Goel, A, Von Hoff, DD, Tamm, EP, Maitra, A, Cristini, V & Koay, EJ 2020, , Frontiers in Oncology, vol. 10, 596931. https://doi.org/10.3389/fonc.2020.596931

Imaging-based subtypes of pancreatic ductal adenocarcinoma exhibit differential growth and metabolic patterns in the pre-diagnostic period: implications for early detection
Staquicini, D, Barbu, E, Zemans, R, Dray, B, Staquicini, F, Dogra, P, Wang, Z, Cristini, V, Sidman, RL, Berman, A, Tuder, R, Pasqualini, R & Arap, W 2020, , Med.

Pharmacological activity and cancer theranostic applications of lipid-coated silica nanoparticles
Dogra, P, Butner, J, Cristini, V & Wang, Z 2020, . in M Saravanan & H Barabadi (eds), Cancer Nanotheranostics. Nanotechnology in the Life Sciences, Springer.

A mechanistic immunotherapy model provides patient-specific quantification of immune response and associated long-term tumor burden
Butner, J, Wang, Z, Elganainy, D, Plodinec, M, Calin, GA, Dogra, P, Nizzero, S, Ruiz Ramírez, J, Chung, C, Koay, EJ, Welsh, J, Hong, DS & Cristini, V 2020, , Nature Biomedical Engineering.

Imaging-based subtypes of pancreatic ductal adenocarcinoma exhibit differential growth and metabolic patterns in the pre-diagnostic period: implications for early detection
Zaid, M, Elganainy, D, Dogra, P, Dai, A, Fernandes, P, Wang, Z, Peláez, MJ, Ruiz Ramírez, J, Singhi, AD, Brand, RE, Tamm, EP, Cristini, V & Koay, EJ 2020, , Frontiers in Oncology. https://doi.org/10.3389/fonc.2020.596931

A mathematical model to estimate chemotherapy concentration at the tumor-site and to predict therapy response in colorectal cancer patients with liver metastases
Anaya, DA, Dogra, P, Wang, Z, Ghayouri, M, Lauwers, GY, Kim, R, Butner, J, Nizzero, S, Ruiz Ramírez, J, Plodinec, M, Sidman, RL, Pasqualini, R, Arap, W, Fleming, JB & Cristini, V 2020, , Cancers.

Intratumoral injection of hydrogel-embedded nanoparticles enhances retention in glioblastoma
Brachi, G, Ruiz-Ramírez, J, Dogra, P, Wang, Z, Cristini, V, Ciardelli, G, Rostomily, RC, Ferrari, M, Mikheev, AM, Blanco, E & Mattu, C 2020, , Nanoscale. https://doi.org/10.1039/d0nr05053a

Innate immunity plays a key role in controlling viral load in COVID-19: mechanistic insights from a whole-body infection dynamics model
Dogra, P, Ruiz-Ramírez, J, Sinha, K, Butner, JD, Peláez, MJ, Rawat, M, Yellepeddi, VK, Pasqualini, R, Arap, W, Sostman, HD, Cristini, V & Wang, Z 2020, , medRxiv : the preprint server for health sciences. https://doi.org/10.1101/2020.10.30.20215335

Innate immunity plays a key role in controlling viral load in COVID-19: mechanistic insights from a whole-body infection dynamics model
Dogra, P, Ruiz Ramírez, J, Butner, J, Peláez, MJ, Rawat, M, Yellepeddi, VK, Pasqualini, R, Arap, W, Sostman, HD, Cristini, V & Wang, Z 2020, , ACS Pharmacology & Translational Science.

Early prediction of clinical response to checkpoint inhibitor therapy in human solid cancers through mathematical modeling
Butner, J, Martin, G, Wang, Z, Corradetti, B, Ferrari, M, Esnaola, NF, Chung, C, Hong, DS, Welsh, J, Mittendorf, EA, Curley, SA, Sidman, RL, Pasqualini, R, Arap, W, Koay, EJ & Cristini, V 2020, , JCO Precision Oncology.

Image-guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies
Dogra, P, Butner, JD, Nizzero, S, Ruiz Ramírez, J, Noureddine, A, Peláez, MJ, Elganainy, D, Yang, Z, Le, AD, Goel, S, Leong, HS, Koay, EJ, Brinker, CJ, Cristini, V & Wang, Z 2020, , Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology, vol. 12, no. 5, e1628. https://doi.org/10.1002/wnan.1628

Investigating the Effect of Aging on the Pharmacokinetics and Tumor Delivery of Nanomaterials using Mathematical Modeling
Dogra, P, Butner, JD, Ramirez, JR, Cristini, V & Wang, Z 2020, . in 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020., 9175322, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2020-July, Institute of Electrical and Electronics Engineers Inc. pp. 2447-2450, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada, 7/20/20. https://doi.org/10.1109/EMBC44109.2020.9175322

Investigating the Effect of Aging on the Pharmacokinetics and Tumor Delivery of Nanomaterials using Mathematical Modeling
Dogra, P, Butner, JD, Ramirez, JR, Cristini, V & Wang, Z 2020, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2020, pp. 2447-2450. https://doi.org/10.1109/EMBC44109.2020.9175322

Sequential deconstruction of composite drug transport in metastatic breast cancer
Goel, S, Zhang, G, Dogra, P, Nizzero, S, Cristini, V, Wang, Z, Hu, Z, Li, Z, Liu, X, Shen, H & Ferrari, M 2020, , Science advances, vol. 6, no. 26, eaba4498. https://doi.org/10.1126/sciadv.aba4498

Modeling the whole-body dynamics of SARS-CoV-2 to investigate treatment strategies for effective management of COVID-19
Dogra, P, Sinha, K, Wang, Z & Cristini, V 2020, . Open Access Government. <https://www.openaccessgovernment.org/body-dynamics-of-sars-cov-2-treatment-of-covid-19/86929/>