GHUCCTS

Event Calendar

Clinical and Translational Research Grand Rounds: "Using a 3B approach to translate discoveries: from Bedside to Bench and Back"

Date Fri, Jan 10
Time 12: 00 PM - 1: 00 PM
Location Virtual via Zoom

Guest Speaker: Alessia Fornoni, MD, PhD

Alessia Fornoni, MD, PhD is Professor of Medicine and Molecular and Cellular Pharmacology at the University of Miami Miller School of Medicine where she serves as Director of the Peggy and Harold Katz Drug Discovery Center and co-director of their MSTP and CTSA/KL2 programs. She has made signal contributions to our understanding of pathogenetic mechanisms and novel therapeutic targets in proteinuric kidney disease. 
In her talk entitled, “Using a 3B approach to translate discoveries: from Bedside to Bench and Back,” she will share insights into harmonizing expectations between academia, industry, community and patient foundations to advance successful translation from discovery to clinical applications. As an example, she will review the target identification and drug discovery effort that led to the invention and development of a novel agent for the treatment of kidney disease that is currently being tested in phase 2 trials. Lastly, she will use her personal experience to discuss how work life balance is a key component of a successful career in clinical and translational science.

Share This
Upcoming Events
Feb 25
GHUCCTS 2025 KL2 Mini-Symposium Series: “Skin Stem Cells: Coping with Stress"  Feb 25, 2025   12: 00 PM - 1: 00 PM  In-Person or Virtual via Zoom
This free Spring Training Series will cover topics including, Foundations of Data Science, Introduction to Python, Basic Statistical Concepts, Data Exploration & Visualization, Experimentation in Data Science, and introduction to algorithmic techniques in Machine Learning.
This free Spring Training Series will cover topics including, Foundations of Data Science, Introduction to Python, Basic Statistical Concepts, Data Exploration & Visualization, Experimentation in Data Science, and introduction to algorithmic techniques in Machine Learning.
Close