Courses in this category draw from the expertise in Tufts CTSI's Biomedical and Health Data Science Collaborative (BHDSC) and blend informatics, artificial intelligence (AI) and machine learning (ML) methods with the sciences of study design, measurement, and biostatistics.

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Tools, Methods and Community Actions for Reproducible Neuroscience

How do we address the "reproducibility crisis"?

Instructor: Jean-Baptiste Poline, PhD
Course Type: Archived Event
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Using Machine Learning to Increase Equality in Healthcare and Public Health

How can data science and machine learning address healthcare inequality?

Instructor: Emma Pierson
Course Type: Archived Event
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Computational Cognitive Models of Behavior Change in the Real World and at Scale

Center for Quantitative Methods & Data Sciences Seminar Series

Instructor: Peter Pirolli, PhD
Course Type: Archived Event
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Training in Biomedical Data Science Series

View the archived recordings from the 2021 biomedical data science training series.

Instructors: Multiple
Course Type: Archived Event
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Steps Toward Reproducible Research

Interested in learning how to make your data analysis and other scientific computations reproducible?

Instructor: Karl Broman, PhD
Course Type: Archived Event
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OHDSI Part 1 - OMOP Common Data Model, ATLAS, & Cohorts

What is the OMOP Common Data Model (CDM)?

Instructor: Christian Reich
Course Type: Self-Paced Online
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OHDSI Part 2 - Patient-Level Prediction
How can OHDSI analytic tool sets be used in developing patient-level prediction models?
Instructor: Jenna Reps
Course Type: Self-Paced Online
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Predictive Analytics and Comparative Effectiveness (PACE) Symposium 2015 - Part 1

How can we use group data to treat individual patients?

Instructors: David Kent, Peter Rothwell, A. Cecile Janssens
Course Type: Self-Paced Online
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Predictive Analytics and Comparative Effectiveness (PACE) Symposium 2015 - Part 2

How can we use group data to treat individual patients?

Instructors: David Kent, Issa Dahabreh, Rod Hayward
Course Type: Self-Paced Online