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Nov 04, 2026 | UC Irvine Digest
Member, Sora Tanjasiri, DrPH, MPH - Better Health Begins with Being Heard
Orange County community leaders and advocates are helping shape UC Irvine research around the women’s health issues that matter most.
Nov 04, 2026 | UC Irvine In the News
Member, Matthew Landry, PhD, RDN - A Surprising Mealtime Habit Could Lower Blood Pressure, Study Shows
“Intuitive eating helps build a better relationship with food, which lends itself to other good behaviors that we might want to do...”
The Cancer Letter
Events, Funding Opportunities, Announcements, & News
November 04, 2026
Oct 30, 2026 | UC Irvine In the News
Member, Gillian Hayes, PhD - AI and Social Media Bans Won’t Make California Kids Safer Online. It May Even Be Harmful
"Many kids go online to access communities where they truly feel comfortable, ...we should instead design better platforms that accommodate everyone.”
Member, Nadine Abi-Jaoudeh, MD - First-in-Human Trial Uses Laser Light to Attack Inoperable Pancreatic Tumors
A first-in-human Phase I trial of padeliporfin vascular-targeted photodynamic therapy for unresectable locally advanced pancreatic ductal adenocarcinoma
Oct 28, 2026 | UC Irvine Digest
Members: Christopher Halbrook, PhD; Jennifer Valerin, MD, PhD - Common Cholesterol Drugs Show Promise Against Chemotherapy-Resistant Pancreatic Cancer
“...deepens our understanding of resistance and has also created pre-clinical data that we have already used to bring this treatment to patients in the form of an investigator-initiated trial..."
Oct 28, 2026 | UC Irvine In the News
Member, Matthew Landry, PhD, RDN - RFK Jr. Promised to Define ‘Ultraprocessed’ Food. What's Taking so Long?
“If you think about what a lot of these ultraprocessed foods are, they are designed for consumption”
October 28, 2026
Cancer In Focus - Events, Funding Opportunities, Announcements, News, Research Services, & Resources
Oct 23, 2026 | UC Irvine In the News
Member, Pratik Shah, PhD - Upload a Selfie and AI will Estimate Your Biological Age
"What sets this study apart is the foundation model trained on millions of images and its large sample of cancer patients"