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.

View in Course Catalog 

Faculty

Paul Avillach
Paul Avillach, MD, PhD
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
Avillach Lab

Fall 2023

Meeting Time: Fridays, 9:00 AM - 12:00 PM ET

Room: Countway 403

First Class Meeting: Friday, October 27, 2023

Last Class Meeting: Friday, December 15, 2023

Cross-Registration

Students who are not in the Master of Biomedical Informatics program who wish to cross-register into this course must submit a cross-reg petition in my.harvard that summarizes their interest in the course and experience with R programming. Cross-reg petitions will be reviewed on a first-come, first-served basis beginning August 25, 2023. Students can and should submit petitions before this date, but they will not be approved ahead of time. 

For questions regarding cross-registration, please contact rebecca_fitzhugh@hms.harvard.edu with the subject line "BMI 705 cross-registration".