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

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.

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

Dr. Tolga Can of the Colorado School of Mines will discuss how he and his colleagues at Erson-Bensan Lab are using publicly available RNA-seq data sets and Cancer Genomics Cloud resources to screen for alternative polyadenylation events in cancer cells.

Join the April Imaging and Informatics Community Webinar and hear Mayo Clinic’s Dr. Tim Leiner discuss the applications of machine learning in cardiovascular imaging. Some of the methods presented will have applications in cardiac evaluation of patients undergoing cancer immune- or chemo-therapies.

Attend this two-day workshop and hear from speakers who seek to accelerate AI-influenced cancer research by addressing data limitations.

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.

Attend the March Imaging and Informatics Community Webinar to hear about the application of artificial intelligence in healthcare.

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

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