FORUMS
Educating and training scientists on how the Center’s resources can aid their research
Forums are currently conducted in person and on Zoom. Please get in touch with our administrative manager to request an invite.
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Upcoming Forums
January 17, 2025. Equitable AI for Children’s Health and Rare Diseases
Dr. Marius George Linguraru will demonstrate how artificial intelligence may be the greatest tool we have for improving the quality of and access to medical care for children, especially those most vulnerable to health inequities.
Past Forums
Recent Advances in AI for Abdominal Radiology
(May 16, 2024) In this presentation, Dr. Ronald Summers from the NIH Clinical Center shows the latest abdominal radiology AI research from his lab.Key Discussions for the Virtual Imaging Trials in Medicine Summit
(March 15, 2024) Dr. Ehsan Samei from Duke University highlights important discussions in preparation for the Virtual Imaging Trials in Medicine Summit hosted by Duke University, April 2024.Towards Virtual Trials in Radiation Oncology: Computational Tumor Phenotyping, Multiscale Mathematical Modeling, and In Silico Cancer Biology
(February 16, 2024) Dr. Kyle Lafata from Duke University discusses computational tumor phenotyping, multiscale mathematical modeling, and in silico cancer biology, showing how these techniques can capture both clinically relevant and biologically-sound phenomena.Low-dose CT Allows for Accurate Proton Therapy Treatment Planning
(January 19, 2024) Using simulation tools, Masoud ElhamiAsl from KU Leuven assesses the effect of reducing CT imaging dose on proton therapy dose calculation, plan optimization, and delineation of target volumes and organs at risk.Credibility of In Silico Medicine Models
(December 15, 2023) Dr. Marco Viceconti from the Department of Industrial Engineering, University of Bologna will provide a brief theoretical reflection on the concept of credibility, explore how this is being adopted in the regulatory pathways for Digital Twins and In Silico Trials, and the barriers that are slowing down the widespread adoption of ...
