Course review and preparation
Track 2 curriculum checklists
Read the supplied four-week companion plan alongside the complete six-month track curriculum. A separate six-month checklist follows the cancer, cardiovascular disease, and data-integration curriculum.
Six-month curriculum review
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Research Education Curriculum on Cancer, Cardiovascular Disease, and Data Integration
Month 1: Introduction to Cardiology in Cancer Patients
Attend lectures on CVD and cancer interaction
Read AHA and NCI resources on cardio-oncology
Analyze survivor case study
Submit infographic on cancer and heart health
Complete quizzes from AHA, NCI, JACC
Submit essay on early screening for heart health
Month 2: Mechanisms of Cancer Treatment Impacting the Heart
Read articles from EHJ, The Lancet Oncology, Circulation
Study mechanisms of cardiotoxicity (oxidative stress, apoptosis)
Attend guest lectures
Design a monitoring plan for chemotherapy-induced risk
Complete 3 module-specific quizzes
Month 3: Data Collection, Integration, and Ethics
Learn EHR and clinical trial data integration
Read articles from J Med Systems, Health Info Sci, JCO
Complete ethics training and IRB-related exercises
Design a study with integrated data and ethical safeguards
Complete data ethics quiz
Month 4: Predictive Models and AI in Risk Assessment
Apply ASCVD and Framingham models to case data
Create a basic ML model in R or Python
Evaluate model limitations and strengths
Complete AI and machine learning quizzes
Submit infographic on ML in cardiology
Month 5: Industry Collaboration and Real-World Data
Attend industry guest speaker session
Analyze real-world dataset
Submit a mock data-sharing agreement
Complete quiz on privacy, data use, and partnerships
Month 6: Writing and Presenting
Draft research manuscript
Peer review and receive instructor feedback
Create final PowerPoint
Deliver 10-minute research presentation
Complete peer review worksheet for others’ work
Four-week companion plan
Open the complete original DOCX
Track 2
Week 1: Advanced Research Concepts
☐ Review advanced research design frameworks
☐ Submit 1-page review of a recent research article
☐ Attend advanced methods seminar or view recording
Week 2: Data Management and Strategy
☐ Complete tutorial on advanced data tools (e.g., REDCap, R)
☐ Participate in data sharing and security best practices workshop
☐ Submit annotated dataset outline or plan
Week 3: Communication and Collaboration
☐ Create or revise an abstract for a real or proposed study
☐ Review and comment on peer abstract drafts
☐ Attend writing and publication ethics seminar
☐ Submit summary of lessons learned from seminar
Week 4: Capstone Integration
☐ Finalize proposal or analysis project
☐ Present 3-minute lightning talk to peers or mentors
☐ Submit self-reflection on learning during the track
☐ Provide feedback on others’ presentations