Precision Practice with Big Data

Precision Practice with Big Data

BIOMEDIN 205: Precision Medicine and Big Data

Fall 2017

Course Description

Primarily for M.D. students; open to other graduate students. This course provides an
overview of how to leverage large amounts of clinical, molecular, and imaging data within
hospitals and in cyberspace--big data--to practice medicine more effectively. Lectures by
physicians, researchers, and industry leaders survey how the major methods of informatics
can help physicians leverage big data to profile disease, to personalize treatment to patients,
to predict treatment response, to discover new knowledge, and to challenge established
medical dogma and the current paradigm of clinical decision-making based solely on
published knowledge and individual physician experience. May be repeated for credit.
Prerequisite: background in biomedicine. Background in computer science can be helpful but
not required.

Course Personnel

  • Instructor: Daniel Rubin, P.h.D rubin (at) stanford.edu
  • Teaching Assistant: Larry Kalesinskas lkalesin (at) stanford.edu

Course Logistics

  • Location: LKSC 101
  • Time: Wednesdays, 12:30 - 1:20 PM
  • Grading: Pass/Fail, 1 Unit. May be repeated.
  • To receive credit, students must attend every class or complete the make-up assignment (questions on the lecture) for the days missed.
    • Make-up assignments will be posted on Canvas the afternoon following the lecture and due in 1 weeks.
    • Lectures will be available 3-4 hours after class in the "Lecture Media" tab.
  • Lunch is provided at 12:00 PM for all registered students

Speakers Schedule

Date Presenter Department Title Reading
26 September Daniel Rubin Stanford Radiology "Frontiers of Artificial Intelligence in Analysis of Clinical Images and Reports" Files
3 October Purvesh Khatri Stanford Immunology "Accelerating Translational Medicine by Leveraging Heterogeneity in Public Data" Files
10 October Tina Hernandez-Boussard Stanford Biomedical Data Science "High-Volume Digital Biomedical Data: Promise and Potential to Improve Healthcare Quality" Files
17 October Mary Goldstein

Chief, Medical Service VA Palo Alto Health Care System

"Getting from Patient Data to Actionable Recommendations: Clinical Decision Support (CDS) for Health Professionals using EHR Data" Files
24 October Jennifer Frankovich Stanford Pediatrics/Rheumatology "Using informatics to improve clinical care and make novel discoveries" Files
31 October Jonathan Chen Stanford Medicine/Biomedical Informatics "Wisdom of the Crowd or Tyranny of the Mob? Discovering and Distributing the Latent Knowledge Embedded in Clinical Data" Files
7 November Nima Aghaeepour Stanford Immunology
14 November Sylvia Plevritis Stanford Radiology Deep Data in Precision Cancer Treatment Files
21 November ~No Lecture - Happy Thanksgiving!~
28 November Robert Tibsharani Stanford Biomedical Data Science, Statistics Cancer detection via the lasso and customized training Files
5 December Jeanne Shen Stanford Pathology

 

Course Summary:

Date Details