Real-world cancer data science at Memorial Sloan Kettering: insights from prospective clinical sequencing of 100,000 patients
Speaker: Dr. Sanchez-Vega
Assistant Member, Computational Oncology, Dept. of Epidemiology-Biostatistics, MSKCC
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
May 9th, 2024 | 3.30 pm
Contact: Prof. Francesco Trovo'
Research Line: Artificial intelligence and robotics
Assistant Member, Computational Oncology, Dept. of Epidemiology-Biostatistics, MSKCC
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
May 9th, 2024 | 3.30 pm
Contact: Prof. Francesco Trovo'
Research Line: Artificial intelligence and robotics
Sommario
On May 9th, 2024 at 3.30 pm the seminar "Real-world cancer data science at Memorial Sloan Kettering: insights from prospective clinical sequencing of 100,000 patients" will take place at DEIB Seminar Room "Nicola Schiavoni" (Building 20).
Over 100,000 cancer patients have had their tumors sequenced over the past decade as part of their care at Memorial Sloan Kettering. This has generated the largest single institution cancer data cohort in the world combining detailed clinical and genomic profiles. I will provide a general overview of our computational workflows for data collection, annotation, analysis, and visualization. I will then present and discuss our work on modeling associations between molecular profiles and patterns of metastatic dissemination as an example of a large project that leveraged the unique characteristics of this cohort for translational research. Finally, I will briefly discuss some of our plans to expand our current real-world data resources for future research projects.
Over 100,000 cancer patients have had their tumors sequenced over the past decade as part of their care at Memorial Sloan Kettering. This has generated the largest single institution cancer data cohort in the world combining detailed clinical and genomic profiles. I will provide a general overview of our computational workflows for data collection, annotation, analysis, and visualization. I will then present and discuss our work on modeling associations between molecular profiles and patterns of metastatic dissemination as an example of a large project that leveraged the unique characteristics of this cohort for translational research. Finally, I will briefly discuss some of our plans to expand our current real-world data resources for future research projects.
Biografia
Dr. Sanchez-Vega is an assistant attending in the Computational Oncology Service of the Department of Epidemiology and Biostatistics and the Colorectal Service of the Department of Surgery at Memorial Sloan Kettering Cancer Center. He received his Ph.D. in Applied Mathematics and Statistics with an area of concentration in Computational Medicine from The Johns Hopkins University. His research focuses on the use of novel approaches in computational genomics and multimodal data integration for translational applications in cancer research and precision oncology.
