Schedule

CSCI President, CITAC President, and University of Toronto CIP AJM Chair Welcome

His company, Elpida Therapeutics, hopes to save the lives of many children living with rare diseases. His son Michael has spastic paraplegia type 50 (SPG50), a slow progressive neurodegenerative disorder.

Clinical
Various
Basic/Translational Research

Clinical

Clinical

Clinical

Various

Basic/Translational Research

Basic/Translational Research

Basic/Translational Research

Clinical
Various
Basic/Translational Research

Clinical

Clinical

Clinical

Various

Basic/Translational Research

Basic/Translational Research

Basic/Translational Research

Speakers: Tina Martimianakis and Erene Stergiopoulos Learning Objectives By the end of this session participants will be able to: 1. Define the concept of the Hidden Curriculum and its role on the quality improvement of clinician investigator training 2. Develop skills to identify positive and negative Hidden Curriculum effects in clinician investigator training 3. Describe ways that they can apply the concept of the hidden curriculum to contribute to the improvement of clinician investigator training

Speaker: Francine Buchanan Learning Objectives By the end of this workshop, participants will be able to: 1. Describe basic concepts of patient, family and community engagement in research, including how is complements patient research participation 2. Recognize the value of integrating patient, family and community perspectives into the clinical research process 3. Apply patient engagement in research values and principles to the design and execution of an engagement plan. 4. Identify the resources, services and training opportunities available to support clinical research professionals to integrate patient, family and community perspectives into the clinical research process

Presenters: Abhishek Morturu, Armaan Malhotra, Samantha Unger Objectives: 1. Understand AI Fundamentals - Provide an overview of key AI concepts, including machine learning, deep learning, and natural language processing, with a focus on their relevance to medicine and research. 2. Explore AI Applications in Medicine - Examine real-world examples of AI applications in clinical research, such as predictive modeling, image analysis, and naturel language processing (e.g., Large Language Models). 3. Appraise AI in Research - Discuss considerations for evaluating AI-driven studies, interpret model performance metrics, and recognize potential biases and limitations. 4. Identify Opportunities to leverage AI for Research Productivity - Consider how AI can enhance research projects and provide resources for further learning.

Speaker: Douglas Buller Learning Objectives: 1. Participants will be introduced to a broad spectrum of tools to make presentations better. 2. Participants will be alerted to many presentation pitfalls and learn how to avoid them. 3. Participants will have a greater understanding of the history of presenting and how to use that history to make better presentations. 4. Participants will have a greater understanding of the role of narrative in communication.

Speaker: Francine Buchanan Learning Objectives By the end of this workshop, participants will be able to: 1. Describe basic concepts of patient, family and community engagement in research, including how is complements patient research participation 2. Recognize the value of integrating patient, family and community perspectives into the clinical research process 3. Apply patient engagement in research values and principles to the design and execution of an engagement plan. 4. Identify the resources, services and training opportunities available to support clinical research professionals to integrate patient, family and community perspectives into the clinical research process

Abhishek Morturu, Armaan Malhotra and Samantha Unger Objectives: 1. Understand AI Fundamentals - Provide an overview of key AI concepts, including machine learning, deep learning, and natural language processing, with a focus on their relevance to medicine and research. 2. Explore AI Applications in Medicine - Examine real-world examples of AI applications in clinical research, such as predictive modeling, image analysis, and naturel language processing (e.g., Large Language Models). 3. Appraise AI in Research - Discuss considerations for evaluating AI-driven studies, interpret model performance metrics, and recognize potential biases and limitations. 4. Identify Opportunities to leverage AI for Research Productivity - Consider how AI can enhance research projects and provide resources for further learning.

Speaker: Douglas Buller Learning Objectives: 1. Participants will be introduced to a broad spectrum of tools to make presentations better. 2. Participants will be alerted to many presentation pitfalls and learn how to avoid them. 3. Participants will have a greater understanding of the history of presenting and how to use that history to make better presentations. 4. Participants will have a greater understanding of the role of narrative in communication.