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Abstract # Name Title
1 Adam Shulman Rayos Contra Cancer: A Model for Longitudinal Training in Radiotherapy Delivery in Lower-Middle Income Countries
2 Alanna Chu Managing Cancer and Living Meaningfully (CALM): A Global Initiative
3 Amanda Aleong Segmentation of Multiple Needles for MR-guided Prostate Brachytherapy using Machine Learning
4 Amanda Caissie A Multi-Level Approach to Building a Pan-Canadian System for Radiotherapy Big Data
5 Andrew Hope Risk Stratification of Pulmonary Computed Tomography to Assist in Diagnosis of Inflammatory Lung Disease
6 Anjali Silva Delineation of the Molecular Heterogeneity Underlying Patient Outcomes in Follicular Lymphoma
7 Brandon Driscoll Creation and Validation of the QIPCM Imaging AI Development and Collaboration Environment
8 C Norman Coleman Radiation Oncology is an ideal situation to utilize, develop, test, and implement AI/ML
9 Jennifer Law Using AI to Improve Precision Medicine: Real-World Impact of Biomarker Testing in Advanced Lung Cancer
10 Denis Keimakh An Analysis of Structural Variant Callers
12 Farnoosh Khodakarami DeepCINET: A Deep Learning Approach to Predict Noisy Phenotypes
13 Farnoosh Khodakarami Deep Learning Radiomics Model for Head and Neck Survival Prediction
14 Hassan Mahmoud Omics Complementary Role for Biomarker Discovery in Cancer
15 Hina Saeed Global Implications and Challenges Associated with Big Data Explosion in Healthcare: Is Blockchain the Answer?
16 Hina Saeed Exploring the Significance and Challenges of Implementing AI and Big Data in Clinical Practice: How Ready Are We?
17 Ian King Clinical Evaluation of the Watson for Genomics Platform for Cancer Variant Interpretation
18 Jamal Khader King Hussein Cancer Center in Jordan as an Example of a Successful Story of Regional and International Collaboration
19 Jamal Khader Variables Altering the Impact of Respiratory Gated CT Simulation on Planning Target Volume in Radiotherapy for Lung Cancer
20 Jamal Khader Enhancing Value of Quality Assurance Rounds in Improving Radiotherapy Management: A Retrospective Analysis from King Hussein Cancer Center in Jordan
21 Frederick Ng Predicting treatment planning evaluation parameter in radiotherapy QA using machine learning
22 James Chow A Chatbot with Characterization on Radiotherapy Using Artificial Intelligence and Machine Learning
23 Janet Papadakos Plain Language and Patient Education in Systemic Therapy: A Formative Evaluation
24 Naa Kwarley Quartey Health Literacy Assessment of Cancer-Related Whiteboard Animation Videos for Patients
25 Karen Lawrie From Research to Resource: Creating Patient Education Materials Toward Clinical Trials Recruitment and Retention
26 Janet Papadakos Exploring the Role of Family Caregivers as Informal Health Human Resources in Cancer Care: A Scoping Review
27 Jim Leng Comparative Cost-Benefit Analysis of 2D vs. 3D Radiotherapy Using Quality Adjusted Life Years
28 Justin Burgener Comprehensive Detection of ctDNA in Localized Head and Neck Cancer by Genome- and Methylome-based Analysis
29 Kesavi Kanagasabai Developing a Machine-Llearning Based Automated Planning Method for Partial Breast Radiotherapy
31 Mei Ling Yap Factors Associated with Treatment Type for Prostate Cancer Patients in the 45 and Up Study, New South Wales, Australia
32 Nicole Liscio Digital Screens: Guidelines for Managing Content with a Patient-Focused Lens
33 Robert Henderson Applications of Deep Learning for Automatic Contouring of Tumours in the Brain
34 Abbasali Hossein Pourfeizi Delays in Initial Referral, Diagnosis and Treatment in Children with Cancer
35 Tina Papadakos Fostering the Next Generation of Diverse Oncology Leaders Through the Summer Student Clinician Scientist Program
36 Steven De Michino Exploration of Epigenetic Profiles in Circulating Tumor DNA to Identify Predictive Cancer Biomarkers
37 Tran Truong An Implementation Framework for AI in Healthcare
38 Fred Fu Comparison of Computational Pathology Approaches for the Quantitation of Bone Marrow Plasma Cell Percentages
39 Tina Papadakos Difficult Conversations in Cancer
40 Yasin Mamatjan The Promise and Potential of AI and Big Data to Revolutionize Cancer Diagnosis
41 Yasin Mamatjan Novel Clinical Application of Machine Learning Approaches to Predict Meningioma Recurrence Risk


February 20-21, 2020


Courtyard Toronto Downtown
475 Yonge Street
Toronto, ON M4Y 1X7


Conference Services
416-597-3422 ex 3448