An Artificial Intelligence Multimodal Method for Patient Outcome Prediction
During the 2023 Annual Congress of the European Association for Cancer Research (EACR 2023), Dr. Daoud Meerzaman, NCI CBIIT’s Computational Genomics and Bioinformatics Branch chief, will discuss how multimodal artificial intelligence and machine learning approaches can predict cancer patient outcomes. His approach involves the integration of multiple data modalities to improve the accuracy and effectiveness of predictions.
If you’re attending the congress, be sure to attend his presentation!
Dr. Meerzaman will integrate information from various sources such as clinical data, medical imaging, genomics, and other relevant data to provide a comprehensive understanding of a Glioblastoma (GBM) patient’s health status, progression, or response to treatment.
EACR 2023 is a conference dedicated to basic, preclinical, and translational cancer research across a wide breadth of topics. This event will bring together the cancer research community to inspire innovation and build knowledge, connections, and collaborations.
Dr. Meerzaman is the Computational Genomics and Bioinformatics Branch (CGBB) chief at CBIIT. Under his supervision, CGBB provides bioinformatics analysis support for life sciences and clinical and translational research for intramural scientists, including both NCI’s Division of Cancer Epidemiology and Genetics and Center for Cancer Research.
Upcoming Events
- Using Medicare Advantage Encounter Data in Cancer ResearchSeptember 29, 20232023 Annual Meeting of the NCI Cohort ConsortiumOctober 11, 2023 - October 12, 2023Annual NCI Office of Data Sharing SymposiumOctober 16, 2023 - October 17, 2023