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CBB Member Karim Karim in lab, Electrical and Computer Engineering

CBB Member Karim Karim, Electrical and Computer Engineering, in lab

Lab of CBB Member Frank Gu, Chemical Engineering

CBB Researcher Alex Wong, Canada Research Chair in Medical Imaging, Systems Design Engineering

Learn how CBB researchers are tackling Cancer:

CBB Researchers

CBB Researchers: Cancer

Stories

"Math can predict how cancer cells evolve," Phys.Org, Mohammad Kohandel and Sivabal Sivaloganathan, January 16, 2018
"AI tool promises earlier detection of deadly form of skin cancer," Waterloo News, Alex Wong, August 23, 2017
"AI driven imaging research makes diagnosing disease easier," Waterloo News, Alex Wong, June 7, 2017
"Pharmacy researchers team up to attack colon cancer by exploiting natural pathways," Pharmacy News, Roderick Slavcev, January 3, 2017
"Paving the way for a digital x-ray and health-care revolution," Office of Research, Karim Karim, June 9, 2016
"Nanotechnology and math deliver two-in-one punch for cancer therapy resistance," Waterloo News, Sivabal Sivaloganathan, June 23, 2016
"Breakthrough tech helps doctors more accurately diagnose cancer," Waterloo Stories, Alex Wong, May 20, 2016
“A civil engineer fights cancer one moving cell at a time,” Engineer the Future, Wayne Brodland, September 23, 2015
"Reverse engineering embryogenesis and cancer," CBB Researcher Story, Wayne Brodland, July 25, 2015
"Study finds new lethal combination of cancer drugs shrinks tumors," Waterloo Stories, Sivabal Sivaloganathan, February 11, 2015
"Making it harder for cancer to hide," Waterloo Stories, Hamid Tizhoosh, Alex Wong, January 9, 2013
"Improving early diagnosis to save lives," CBB Researcher Story, Alex Wong, January 9, 2013
"How the trout are saving us: using biomarkers to improve water quality," CBB Researcher Story, Bernard Duncker, January 2, 2013

Press/Media

"Mathematicians set sights on cancer therapy," CTV News, Mohammad Kohandel and Sivabal Sivaloganathan, January 19, 2018
"Image-based models of solid tumors behaviour in diagnosis, treatment, prediction," Youtube Lecture, Madjid Soltani, December 1, 2016
"A tissue mechanist found in translation," Youtube Lecture, Thomas Willett, November 19, 2015
"Nanomedicines - The Way of the future?" Youtube Lecture, Emmanuel Ho, January 21, 2015
"BIG Data, medical imaging, and machine intelligence," Youtube Lecture, Hamid Tizhoosh, January 21, 2015
"Medical imaging: pixels, consensus, and learning," Youtube Lecture, Hamid Tizhoosh, October 1, 2014
"Integrative systems for biomedical imaging and analysis," Youtube Lecture, Alex Wong, October 1, 2014
"An engineering prospective on cancer," Youtube Lecture, Adil Al-Mayah, September 30, 2014
"Model-based design in synthetic biology," Youtube Lecture, Brian Ingalls, September 30, 2014
"Bending the cost curve: Building a $1000 diagnostic x-ray imager for scalable and sustainable healthcare," Youtube Lecture, Karim Karim, September 30, 2014

Publications by CBB Researchers

Moradian S, Krzyzanowska MK, Maguire R, Morita PP, Kukreti V, Avery J, Liu G, Cafazzo J, Howell D. Usability Evaluation of a Mobile Phone–Based System for Remote Monitoring and Management of Chemotherapy-Related Side Effects in Cancer Patients: Mixed-Methods Study. JMIR Cancer 2018;4(2):e10932
Al-Mayah, A., Moseley, J., Hunter, S., & Brock, K. (2015). Radiation dose response simulation for biomechanical-based deformable image registration of head and neck cancer treatment. Physics in Medicine & Biology, 60(21), 8481.
Mohamed, A. S., Wong, A. J., Fuller, C. D., Kamal, M., Gunn, G. B., Phan, J., ... & Quinlan-Davidson, S. R. (2017). Patterns of locoregional failure following post-operative intensity-modulated radiotherapy to oral cavity cancer: quantitative spatial and dosimetric analysis using a deformable image registration workflow. Radiation Oncology, 12(1), 129.
Shafiee, M. J., Chung, A. G., Khalvati, F., Haider, M. A., & Wong, A. (2017). Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection. Journal of Medical Imaging, 4(4), 041305.
Shafiee, M. J., & Wong, A. (2017). Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection. arXiv preprint arXiv:1709.08248.
Cho, D. S., Khalvati, F., Clausi, D. A., & Wong, A. (2017, July). A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer. In International Conference Image Analysis and Recognition (pp. 79-86). Springer, Cham.
Karimi, A. H., Chung, A. G., Shafiee, M. J., Khalvati, F., Haider, M. A., Ghodsi, A., & Wong, A. (2017, July). Discovery radiomics via a mixture of deep convnet sequencers for multi-parametric MRI prostate cancer classification. In International Conference Image Analysis and Recognition (pp. 45-53). Springer, Cham.
Kumar, D., Chung, A. G., Shaifee, M. J., Khalvati, F., Haider, M. A., & Wong, A. (2017, July). Discovery radiomics for pathologically-proven computed tomography lung cancer prediction. In International Conference Image Analysis and Recognition (pp. 54-62). Springer, Cham.
Khalvati, F., Haider, M. A., Ghodsi, A., & Wong, A. (2017, June). Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. In Image Analysis and Recognition: 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings (Vol. 10317, p. 45). Springer.
Cho, D. S., Khalvati, F., Clausi, D. A., & Wong, A. (2017, July). A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer. In International Conference Image Analysis and Recognition (pp. 79-86). Springer, Cham.
Zhang, Y., Oikonomou, A., Wong, A., Haider, M. A., & Khalvati, F. (2017). Radiomics-based prognosis analysis for non-small cell lung cancer. Scientific reports, 7, 46349.
Khalvati, F., Zhang, J., Wong, A., & Haider, M. A. (2016, December). Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection. In Machine Learning and Applications (ICMLA), 2016 15th IEEE International Conference on (pp. 146-151). IEEE.
Mooney, S. M., Talebian, V., Jolly, M. K., Jia, D., Gromala, M., Levine, H., & McConkey, B. J. (2017). The GRHL2/ZEB feedback loop—a key axis in the regulation of EMT in breast cancer. Journal of cellular biochemistry, 118(9), 2559-2570.
Seo, B. B., Jahed, Z., Coggan, J. A., Chau, Y. Y., Rogowski, J. L., Gu, F. X., ... & Tsui, T. Y. (2017). Mechanical Contact Characteristics of PC3 Human Prostate Cancer Cells on Complex-Shaped Silicon Micropillars. Materials, 10(8), 892.
Yang, S., Chen, D., Li, N., Xu, Q., Li, H., Gu, F., ... & Lu, J. (2016). Hollow mesoporous silica nanocarriers with multifunctional capping agents for in vivo cancer imaging and therapy. Small, 12(3), 360-370.
Gangeh, M. J., Tizhoosh, H. R., Wu, K., Huang, D., Tadayyon, H., & Czarnota, G. J. (2017, February). Tumour ellipsification in ultrasound images for treatment prediction in breast cancer. In Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on (pp. 41-44). IEEE.
Lu, M., Lu, Q. B., & Honek, J. F. (2017). Squarate-based carbocyclic nucleosides: Syntheses, computational analyses and anticancer/antiviral evaluation. Bioorganic & medicinal chemistry letters, 27(2), 282-287.
Malik, P., Phipps, C., Edginton, A., & Blay, J. (2017). Pharmacokinetic Considerations for Antibody-Drug Conjugates against Cancer. Pharmaceutical research, 34(12), 2579-2595.
Tulsieram, K. L., Arocha, J. F., & Lee, J. (2018). Readability and coherence of Department/Ministry of health HPV information. Journal of Cancer Education, 33(1), 147-153.
Bizheva, K., Tan, B., Fisher, C. J., Mason, E., & Lilge, L. D. (2017, April). In-vivo imaging of the morphology and blood perfusion of brain tumours in rats with UHR-OCT. In Neural Imaging and Sensing (Vol. 10051, p. 1005107). International Society for Optics and Photonics.
Asgari, H., Soltani, M., & Sefidgar, M. (2018). Modeling of FMISO [F 18] nanoparticle PET tracer in normal-cancerous tissue based on real clinical image. Microvascular research.
Forouzannia, F., Enderling, H., & Kohandel, M. (2018). Mathematical Modeling of the Effects of Tumor Heterogeneity on the Efficiency of Radiation Treatment Schedule. Bulletin of mathematical biology, 80(2), 283-293.
Mahdipour-Shirayeh, A., Kaveh, K., Kohandel, M., & Sivaloganathan, S. (2017). Phenotypic heterogeneity in modeling cancer evolution. PloS one, 12(10), e0187000.
Goldman, A., Kohandel, M., & Clairambault, J. (2017). Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 2: From Theoretical Biology to Mathematical Models. Current Stem Cell Reports, 3(3), 260-268.
Goldman, A., Kohandel, M., & Clairambault, J. (2017). Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 1: Biological Facts and Studies in Drug Resistance. Current Stem Cell Reports, 3(3), 253-259.
Manem, V. S., Kohandel, M., Hodgson, D. C., & Sivaloganathan, S. (2017). Predictive modeling of therapy induced secondary thyroid malignancies in childhood cancer survivors. Convergent Science Physical Oncology, 3(3), 035003.
Tonekaboni, S. A. M., Dhawan, A., & Kohandel, M. (2017). Mathematical modelling of plasticity and phenotype switching in cancer cell populations. Mathematical biosciences, 283, 30-37.
Manem, V. S., Kohandel, M., Hodgson, D. C., & Sivaloganathan, S. (2017). Predictive modeling of therapy induced secondary thyroid malignancies in childhood cancer survivors. Convergent Science Physical Oncology, 3(3), 035003.
Mahdipour-Shirayeh, A., Kaveh, K., Kohandel, M., & Sivaloganathan, S. (2017). Phenotypic heterogeneity in modeling cancer evolution. PloS one, 12(10), e0187000.
Forouzannia, F., & Sivaloganathan, S. (2017). Cancer Stem Cells, the Tipping Point: Minority Rules?. Current Stem Cell Reports, 3(3), 240-247.
Gelband, H., Horton, S., Watkins, D., Jamison, D. T., Wu, D., Gospodarowicz, M., & Jha, P. (2018). Disease Control Priorities: cancer package principles and overview. The Lancet Global Health, 6, S7.
Fuentes‐Alabi, S., Bhakta, N., Vasquez, R. F., Gupta, S., & Horton, S. E. (2018). The cost and cost‐effectiveness of childhood cancer treatment in El Salvador, Central America: A report from the Childhood Cancer 2030 Network. Cancer.
Fuentes-Alabi, S., Vasquez, R. F., Bhakta, N., Rodriguez-Galindo, C., Frazier, A. L., Atun, R., ... & Horton, S. (2017). Cost and Cost-Effectiveness of Childhood Cancer Treatment in El Salvador: A Collaborative Budget Model. Journal of Global Oncology.
Burke, M. V., Atkins, A., Akens, M., Willett, T. L., & Whyne, C. M. (2016). Osteolytic and mixed cancer metastasis modulates collagen and mineral parameters within rat vertebral bone matrix. Journal of Orthopaedic Research, 34(12), 2126-2136.

CBB Researchers

Stories

Press/Media

Publications by CBB Researchers

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