Clinical Trials Appreciation Breakfast
Health Sciences Learning Center (HSLC) 750 Highland Avenue, Madison, United StatesJoin us, in-person, for an informal, drop-in breakfast in the Health Sciences Learning Center (HSLC) Atrium!
Join us, in-person, for an informal, drop-in breakfast in the Health Sciences Learning Center (HSLC) Atrium!
Organized by the UW–Madison chapter of the Group on Women in Medicine and Science, this free event included keynote speakers, panel discussions, and an awards presentation.
The 23rd Annual Medical Student Research Forum will take place on Monday, November 25, 2024 in the Health Science Learning Center from noon to 5 pm.
The next installment of SMPH Collaborate will be held on Friday, November 22 from 3-5 p.m. in Health Sciences Learning Center Room 1345.
In this in-person discussion, we will dive into metastatic breast cancer (ESR1 mutation) insights including initial and subsequent treatments, understanding biomarkers, and reviewing an example treatment strategy.
This meeting will remain a crucial connection point for health care professionals, population health experts, and community advocates who are dedicated to advancing health equity.
Join us, in-person, for an informal, drop-in breakfast in the Health Sciences Learning Center (HSLC) Atrium.
Enjoy bagels, muffins, yogurt, fruit, and ... yes ... donuts! All UW Health and UW–Madison employees and students who have helped move medicine forward via clinical trials at UW are welcome to attend!
The Department of Pediatrics’ annual Research Week will be held May 13–17, 2024.
Research Day highlights the full scope of innovative research in the Department of Medicine and facilitates collaborative interactions within our educational, research and clinical community.
This year’s event will focus on Cancer Modeling. The in-person event allows us to come together to engage, share research visions, and learn from each other.
This year’s Bioethics Symposium will examine AI-related concerns. The goal is a broad roadmap for using health-centered AI in ways that are equitable, empathetic, and empowering.