Skip to main content
An official website of the United States government

NCI Digital Twins Sessions at Bio-IT World

Are you interested in digital twin technology and how artificial intelligence (AI) is being used for drug discovery and development? Are you attending the 23rd Annual Bio-IT World Conference & Expo? Eric Stahlberg from NCI’s Frederick National Lab for Cancer Research will be presenting at these sessions.

NIH/NCI Staff experiencing issues with hyperlinked information should disconnect from their virtual private network (VPN) and try again.

April 15, 2024

10:30 a.m.–12:30 p.m. ET

Biomedical Digital Twins

In this workshop, hear digital twins and biomedical application experts share how to start digital twin efforts; what affects the current environment, challenges, and opportunities you might encounter; and the big questions that will help shape the future of digital twins in medicine.

April 17, 2024

10:30 a.m.–12:00 p.m. ET

Unveiling the Potential of Phytochemicals in Drug Development—Holistic Insights through Digital Twins, in silico Design, and Virtual Trials

Panelists will discuss how they worked together to find candidate molecules for integrative medicine derived from phytochemicals using in silico drug design. They will also explain how they validated what they learned from medical literature and traditional medicine through virtual clinical trials and digital twins as well as how researchers like you can apply these principles to the whole person.

April 17, 2024

2:30–4:00 p.m. ET

Rethinking Drug Development with Human Virtual Models (HVMs)

Learn about the role of HVMs and how they work with AI, machine learning, and generative AI to study how drugs interact with our bodies. Using these computational methods, scientists can simulate complex biological systems and better understand how drugs work on a molecular level. This collaboration between AI and HVMs speeds up new drug testing, helps identify treatment targets, and makes drug development more efficient and affordable.

< Older Post

10 Years of NCI’s Cancer Research Data Commons Highlighted in AACR Journal

Newer Post >

Electronic Health Records Adopting Cancer Data Elements

If you would like to reproduce some or all of this content, see Reuse of NCI Information for guidance about copyright and permissions. In the case of permitted digital reproduction, please credit the National Cancer Institute as the source and link to the original NCI product using the original product's title; e.g., “NCI Digital Twins Sessions at Bio-IT World was originally published by the National Cancer Institute.”

Archive

Email