Seminar Series
Webinar Non-Hodgkin Lymphoma Recurrence
April 03, 2024 11:00 a.m. - 12:00 p.m. ET

Mara Meyer Epstein, Sc.D., and Feifan Liu, Ph.D.

During this webinar, University of Massachusetts Chan Medical School’s Drs. Epstein and Liu will discuss algorithms they are developing to better identify patients experiencing non-Hodgkin lymphoma recurrence.

Headshot of Daniella Lowenberg
March 06, 2024 11:00 a.m. - 12:00 p.m. ET

Daniella Lowenberg

Learn about the importance of responsible data stewardship, which involves understanding how data are found, accessed, and reused.

An open laptop displays the CRDC Imaging Data Commons homepaage.
February 21, 2024 11:00 a.m. - 12:00 p.m. ET

Andrey Fedorov, Ph.D.

Learn how artificial intelligence is revolutionizing how we collect, study, and understand biomedical imaging data.

Photograph of Dr. Avi Ma’ayan
January 24, 2024 11:00 a.m. - 12:00 p.m. ET

Avi Ma’ayan, Ph.D.

Are you having trouble finding gene sets to help in your research? Sign up for the January Data Science Seminar and learn about two new tools that can help make your task a little easier.

Professional headshot of John Quackenbush, Ph.D.
May 31, 2023 11:00 a.m. - 12:00 p.m. ET

John Quackenbush, Ph.D.

Learn how researchers can use network models to understand the development and progression of diseases, such as cancer, and new ways to identify therapeutics.

Itai Yanai, Ph.D.
May 17, 2023 11:00 a.m. - 12:00 p.m. ET

Itai Yanai, Ph.D.

During this webinar, New York University’s Dr. Itai Yanai will discuss the concept of cancer cell states present in a cancerous tumor prior to treatment, as well as those that accompany resistance to increasing drug doses.

Headshot of Dr. Hongfang Liu, woman with dark hair and glasses smiling at camera
May 03, 2023 11:00 a.m. - 12:00 p.m. ET

Hongfang Liu, Ph.D.

Find out how longitudinal patient records impact cancer research, and how applying principles like transparency and reusability could improve this type of data!

Headshot of Spyridon Bakas, Ph.D.
March 08, 2023 11:00 a.m. - 12:00 p.m. ET

Spyridon Bakas, Ph.D.

Discover the results of the largest, real-world, federated learning study focusing on glioblastoma and leveraging data from thousands of patients across six continents. The speaker, Dr. Bakas, comes from the University of Pennsylvania’s Perelman School of Medicine.

Headshot of Gemma Turon, Ph.D
January 25, 2023 11:00 a.m. - 12:00 p.m. ET

Gemma Turon, Ph.D., and Miquel Duran-Frigola, Ph.D.

Learn more about open-source artificial intelligence and machine learning models available to you!

Headshot of Dr. Christine Swisher. Woman with dark blond hair, smiling at the camera.
October 05, 2022 11:00 a.m. - 12:00 p.m. ET

Christine Swisher, Ph.D.

Learn more about the safety and ethics of artificial intelligence in healthcare.