The frontiers of computational oncology
Speaker: Dr. Sohrab Shah
Chief of Computational Oncology at Memorial Sloan Kettering Cancer Center
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
May 9th, 2024 | 3.00 pm
Contact: Prof. Francesco Trovo'
Research Line: Artificial intelligence and robotics
Chief of Computational Oncology at Memorial Sloan Kettering Cancer Center
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
May 9th, 2024 | 3.00 pm
Contact: Prof. Francesco Trovo'
Research Line: Artificial intelligence and robotics
Sommario
On May 9th, 2024 at 3.00 pm the seminar "The frontiers of computational oncology" will take place at DEIB Seminar Room "Nicola Schiavoni" (Building 20).
In this talk I will discuss the value of multimodal data integration in the field of computational oncology. The talk will focus on two emergent areas of the field: AI based analysis of real-world data from cancer patients and more technology forward single cell measurements of human cancers. In both settings, multi-modal data integration provides critical insights that cannot be achieved by any one modality alone. I will show in the real-world setting how this can improve outcome models in immune-checkpoint inhibitor treated lung cancers, and in predicting risk of recurrence in ER+/Her2- early stage breast cancer. In the single cell setting, I will discuss how multimodal integration can be used to infer properties of malignant and immune cell co-evolution in ovarian cancer.
In particular I will highlight distinct immune evasion strategies employed by genomically defined subtypes of ovarian cancer. The talk will conclude with a discussion on the critical next steps in the field of computational oncology and AI-driven research in cancer.
Dr. Sohrab Shah is the inaugural Chief of Computational Oncology at Memorial Sloan Kettering Cancer Center, where he oversees a program of 10 principal investigators applying computational methods and data science to translational research in cancer. His lab focuses on cancer evolution and he has a track record of seminal advances in computational modeling and single cell approaches to study patient samples. He is a former Canada Research Chair in computational cancer genomics, is a Susan G. Komen Scholar and is holds the Nicholss Biondi Endowed Chair in Computational Oncology at MSK.
In this talk I will discuss the value of multimodal data integration in the field of computational oncology. The talk will focus on two emergent areas of the field: AI based analysis of real-world data from cancer patients and more technology forward single cell measurements of human cancers. In both settings, multi-modal data integration provides critical insights that cannot be achieved by any one modality alone. I will show in the real-world setting how this can improve outcome models in immune-checkpoint inhibitor treated lung cancers, and in predicting risk of recurrence in ER+/Her2- early stage breast cancer. In the single cell setting, I will discuss how multimodal integration can be used to infer properties of malignant and immune cell co-evolution in ovarian cancer.
In particular I will highlight distinct immune evasion strategies employed by genomically defined subtypes of ovarian cancer. The talk will conclude with a discussion on the critical next steps in the field of computational oncology and AI-driven research in cancer.
Dr. Sohrab Shah is the inaugural Chief of Computational Oncology at Memorial Sloan Kettering Cancer Center, where he oversees a program of 10 principal investigators applying computational methods and data science to translational research in cancer. His lab focuses on cancer evolution and he has a track record of seminal advances in computational modeling and single cell approaches to study patient samples. He is a former Canada Research Chair in computational cancer genomics, is a Susan G. Komen Scholar and is holds the Nicholss Biondi Endowed Chair in Computational Oncology at MSK.
