Lunch and Learn Series
Summary
The Center for Precision Medicine and Data Sciences (CPMDS) proposes a six-session Luncheon Learn Series to be offered during the winter and spring terms. The series is designed to build foundational literacy in clinical data, omics, and artificial intelligence, while highlighting UC Davis–specific resources that enable translational precision medicine research.
Purpose
The purpose of this series is to lower barriers to entry for investigators and clinicians seeking to use UC Davis data and analytics resources. By providing concise, practical introductions, the series supports research innovation, collaboration, and responsible use of advanced data-driven methods.
Target Audience
The series is intended for clinicians, clinical researchers, basic scientists, trainees, and staff who are interested in leveraging electronic medical record data, multi-omics platforms, imaging, and artificial intelligence for precision medicine applications.
Program Overview
The monthly sessions will cover varied topics from clinical data infrastructure to advanced analytics and translation including topics like:
- EMR structure and UC-wide clinical data resources
- Multi-omics platforms at UC Davis
- Protein structure modeling and variant interpretation
- Image-based artificial intelligence
- Artificial intelligence in health systems
Expected Outcomes
Participants will gain practical knowledge of UC Davis data assets, improved readiness to design data-driven studies, and clearer pathways for engaging CPMDS resources. Leadership will benefit from increased visibility and coordinated use of institutional precision medicine capabilities.
Learn more about the Luncheon Learn Series and download the seminar series flyer from here.
April 22, 2026 - 12-1 p.m.
From Clinic to Dataset: EMR Structure and UC Davis Data Resources
An introduction to how clinical data are generated and organized within the UC Davis Health Epic electronic medical record. This session covers basic relational database concepts, data access pathways, and the UC Health Data Warehouse, which integrates records from over 10 million patients across the UC system.
May 21, 2026 - 12-1 p.m.
Imaging Data and AI at UC Davis: Opportunities in Diagnosis and Therapy
This session explores the use of artificial intelligence in medical imaging, including radiology and pathology. Participants will learn how image-based AI is improving diagnostics and therapy development, along with key challenges in validation and clinical deployment.
June 17, 2026 - 12-1 p.m.
From Genomes to Structure: Protein Modeling and Variant Interpretation
An overview of how genetic variation translates into protein structure and function. This session highlights modern protein modeling approaches and their role in variant interpretation, mechanism discovery, and therapeutic development.
Getting Started with Multi-Omics at UC Davis
This session explores the use of artificial intelligence in medical imaging, including radiology and pathology. Participants will learn how image-based AI is improving diagnostics and therapy development, along with key challenges in validation and clinical deployment.
Artificial Intelligence in Health and Precision Medicine
A practical introduction to artificial intelligence in healthcare, covering machine learning, deep learning, and generative AI. The session highlights current and emerging applications at UC Davis Health, with emphasis on clinical decision support and responsible AI use.
From Data to Discovery: Study Design, Governance, and Reproducible Research
A capstone session focused on translating data into impactful research. Topics include study design, cohort definition, IRB and data governance considerations, and best practices for reproducible and responsible research at UC Davis.
