MED264: Principles of Biomedical Informatics

Teaching Assistants: Grace Yufei Yu and Aaron Boussina

When: Fall 2023 -- -- Courses will be offered in-person on Mondays from 3:30 to 5:30 pm and Thursdays from 1:30 to 3:30 pm at BRF-II 5A03.

Office Hours: by appointment

Course Objectives: The purpose of this class is to provide an engaging and lively introduction to the field of biomedical informatics. Building up from the basic bits of data to modeling complex organisms and organizations, the course will explore the nature of biomedical information and how this information is and can be used in the care of individual patients and populations. We highlight practical and state-of-the-art technologies in biomedical informatics to get students exposed to the current healthcare research environment.

MED264 Syllabus
DATE	SPEAKER	SESSION TITLE
09/28	Tsung-Ting Kuo and Amy Sitapati Skill Assessment Announcement	Introduction to Biomedical Informatics and Population Health Informatics
---	BLOCK 1 - Clinical Informatics	---
10/02	Jejo Koola	Evaluating Predictive Analytics for Clinical Decision Support
10/05	Sally Baxter Skill Assessment Due	Introduction to Ophthalmology informatics and All-of-Us
10/09	Shamim Nemati Teams Formed for Final Project	Deep Learning and Predictive Analytics in the ICU
10/12	Grace Yufei Yu	Data Analysis and Visualization with Python
12/16	Aaron Boussina	Introduction to AI / ML
10/19	Zemirah Ngow	Systematic review
10/23	Rodney Gabriel	Anesthesia Informatics
10/26	Michael Hogarth Project Proposals Due	Not All Data are Structured: Clinical Natural Language Processing and Standards
---	BLOCK 2 - Clinical Research Informatics	---
10/30	Michael Hogarth and Reid Otsuji	Relational Models and Data Systems / Introduction to SQL
11/02	Kai Zheng Graded Proposals Returned	Human Factors: Workflow Optimization and Human-Computer Interaction
11/06	Tsung-Ting Kuo	Biomedical, Healthcare and Genomic Blockchain Applications
11/09	Robert El-Kareh	The Big Picture of Informatics Implemented in Medical Centers and Introduction to EPIC
11/13	Tiffany Amariuta	Algorithms for robust and scalable identification of genetic regulation of gene expression
11/16	Kathleen Curtius	Quantitative Modeling of Cancer Evolution and Early Detection
11/20	Alex Wenzel	Basic statistics using R
11/22	Final TA Discussion Session Due	---
11/23	THANKSGIVING BREAK	NO CLASS
---	BLOCK 3 - Translational Bioinformatics	---
11/27	Renee Zhang	Introduction to Basic Biostatistics
11/30	Matteo D'Antonio	Human Genetics
12/04	Scott Lippman	Cancer Informatics
12/07	Hannah Carter Project Reports Due	Systems Biology for Biomedical Discovery
12/11	Final Presentations from Student Teams	---

Course grades will be based on:

Proposal (20%)
Homework (30%)
Final project presentation and report (50%)
Bonus credit for course participation and submitting evaluation forms (10%, 0.5% per lecture)