Precision Medicine II - Integrating Clinical and Genomic Data

2 Credits, Fall Semester

The real value in biomedical research lies not in the scale of any single source of data, but in the ability to integrate and interrogate multiple, complementary datasets simultaneously. This course will dive into methods about combining clinical and genomics data across different scales and resolutions to enable new perspectives for essential biomedical questions. It will focus on the development of novel statistical methods and techniques for the integration of multiple heterogeneous clinical and epidemiological cohorts, including Electronic Health Records (EHRs). At the HMS Department of Biomedical Informatics we have built open-source technologies to integrate in these cohorts vast and multiple types of high-throughput phenotypic and genotypic data. The students will use those tools during the problem sets with real patient data to learn the process towards making new biomedical discoveries.

Open to all Harvard and MIT students. To cross-register, submit a cross-registration petition via Include in the comments your interest in the course and experience with using R programming language. 

Email Rebecca Fitzhugh with questions about cross-registration.

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Assistant Professor of Biomedical Informatics, Harvard Medical School
Assistant Professor of Pediatrics, Boston Children's Hospital
Assistant Professor in the Department of Epidemiology, Harvard T.H. Chan School of Public Health