T-CAIREM's 2023 AI in Medicine summer student program launches with 29 participants
At the orientation, students were divided into two groups to introduce themselves and learn more about what they can expect.
Each year T-CAIREM's AI in Medicine Summer Student Research Program provides emerging researchers from across Canada with an opportunity to develop their skills with leading artificial intelligence (AI) in health experts.
The competitive program invites applications from undergraduates and students enrolled in professional degree programs like medicine from universities in the T-CAIREM Network.
This year 29 students are participating, a T-CAIREM record since the program launched in 2021.
This year's participants include:
Student: Nitish Bhatt (University of Toronto) Supervisor:Dr. Kathryn Howe Research Project: Multi-modal deep learning for classification of carotid plaque vulnerability
Student: Lyndon Boone (Memorial University) Supervisor: Dr. Maged Goubran Research Project: Unsupervised deep learning-based phenotyping and outcome prediction in MRgFUS anterior capsulotomy for psychiatric disorders
Student: David Chen (University of Toronto) Supervisor:Dr. Srinivas Raman Research Project: Machine-learning based treatment planning for low-dose-rate prostate brachytherapy
Student: Zejia Chen (Queen's University) Supervisor:Dr. Robert Grant Research Project: Mapping pancreatic cancer biology to drug responses
Student: Micah Grubert Van Iderstine (University of Manitoba) Supervisor: Dr. Andrew Sage Research Project: Advanced artificial intelligence for human ex vivo lung perfusion using digital twins
Student: Lyra Halili (University of Toronto) Supervisor:Dr. Miranda Witheford Research Project: Deep learning models of aortic deformation after complex endovascular aneurysm repair can predict early endograft failure and adverse patient outcomes
Student: Yuelee (Ben) Khoo (Western University) Supervisor:Dr. Daniel Felsky Research Project: A whole person machine learning approach to predict the emergence of psychotic spectrum symptoms in youth
Student: Valeria Khudiakova (University of Toronto) Supervisor:Dr. Laura Sikstrom Research Project: Building fair machine learning models: using big data to predict risk of aggression in autistic ED patients at the Centre for Addiction and Mental Health
Student: Andrew Kurbis (University of Waterloo) Supervisor: Dr. Brokoslaw Laschowski Research Project: Artificial Intelligence-powered high-level controller for prosthetic leg and exoskeleton systems
Student: Theodore Liu (McMaster University) Supervisor:Dr. Mohamed Abdalla Research Project: The effect of schema and label noise in clinical data on clinical AI model performance: an algorithmic exploration
Student: Aditya Mehrotra (University of Toronto) Supervisor:Dr. Rahul Krishnan Research Project: Generalized depth estimation algorithms for surgical procedures
Student: Xavier Mootoo (York University) Supervisor: Dr. Milad Lankarany Research Project: deploying graph convolutional networks for EEG data to perform epileptic zone localization
Student: Alif Munim (Toronto Metropolitan University) Supervisor:Dr. Bo Wang Research Project: Video diffusion models for synthetic echocardiogram generation
Student: Eptehal Nashnoush (University of Toronto) Supervisor:Dr. Houman Khosravani Research Project: Project MASA (machine learning assisted swallowing assessment)
Student: Dimitrios Oreopoulos (Western University) Supervisor:Dr. Phedias Diamandis Research Project: PHARAOH: A crowdsourcing computational histology platform to integrate artificial intelligence into clinical pathology workflows.
Student: Zeel Patel (University of Toronto) Supervisor: Dr. Gelareh Zadeh Research Project: Establishing a DNA methylation-based nomogram that can predict RT response in a multi-institutional cohort of meningiomas
Student: Lauren Pickel (University of Toronto) Supervisor: Dr. Alexandre Zlotta Research Project: Silent trial of SEPERA - an AI tool to predict the risk of side-specific extraprostatic extension in pre-prostatectomy patients
Student: Sarada Sriya Rajyam (McMaster University) Supervisor:Dr. Chung-Wai Chow Research Project: Building a predictive model for early identification of chronic lung allograft dysfunction
Student: Sayyam Shah (University of Waterloo) Supervisor:Dr. John Dick Research Project: The development of an unsupervised machine learning pipeline for multi-omic meta-analysis of hematopoietic stem cell state and activity programs
Student: Jingcheng Shao (University of Toronto) Supervisor:Dr. Kenneth Croitoru Research Project: Explore the existence of a bacterial community with specific metabolic capacity and immunogenic profile associated with a protective effect against CD onset
Student: Piyush Sharma (University of Toronto) Supervisor:Dr. Cynthia Hawkins Research Project: Improving DNA methylation-based machine learning classification for pediatric brain tumors
Student: Sophie Sigfstead (University of Alberta) Supervisor:Dr. Christopher Cheung Research Project: AI-based ECG Analysis in arrhythmia diagnosis and prognostication
Student: Matthew So (University of Manitoba) Supervisor:Dr. April Khademi Research Project: Distinguishing between dementia syndromes using convolutional neural networks
Student: Rhea Varghese (McMaster University) Supervisor:Dr. Mamatha Bhat Research Project: Leveraging machine learning methods to predict post-transplant mortality in solid organ transplant recipients
Student: Sarah Walker (University of Toronto) Supervisor:Dr. George Tomlinson Research Project: Association between race/ethnicity and the use of benzodiazepines in mechanically ventilated patients
Student: Grace Yu (University of Toronto) Supervisor:Dr. Maged Goubran Research Project: Developing a deep learning pipeline for segmenting axonal projection in teravoxel-scale whole-brain rodent data
Student: Cindy Zhang (McMaster University) Supervisor: Dr. Frederick Roth Research Project: Deriving probabilistic estimates of human missense penetrance from machine-learning inference of variant impact
Student: Qiyue Zhang (Queen's University) Supervisor: Dr. Osvaldo Espin-Garcia Research Project: Automating knee osteoarthritis severity grading in the osteoarthritis initiative via artificial neural networks
Student: Jonathan Zhao (University of Toronto) Supervisor: Dr. Frank Rudzicz Research Project: Applications of machine learning for assessment of capsulorhexis performance during cataract surgery
