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WG Seminars: Xavier, Gut Microbiota and Sheybani, Ultrasound Cancer Therapy, April 14, 2022
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Modeling Species Interaction in the Gut Microbiota using Data from Hospitalized Patients
Joao Xavier
Memorial Sloan Kettering Cancer Center
The gut microbiota is a microbial ecosystem amenable to mathematical modeling. We will discuss our work at the Memorial Sloan-Kettering Cancer Center where we use data from patients to quantify the ecological interactions. The data consists of timeseries of microbial populations and clinical metadata such as the antibiotics given to patients and their number of white blood cells on each day. The model reveals which microbes are most important for patient immunity. Studying ecology directly from patient data can help drive new treatments to modulate immunity by engineering the gut microbiome.
Ushering Therapeutic Sound Waves into the Era of Precision Cancer Immuno-Oncology
Natasha D Sheybani
University of Virginia
Despite the promise of cancer immunotherapy, a significant fraction of cancer patients are yet unable to realize its unparalleled benefits. Focused ultrasound (FUS) is a versatile, emerging technology for the non-invasive, non-ionizing, and precisely targeted deposition of acoustic energy into tumor tissues. Recent years have unveiled the capacity of FUS to potentiate cancer immunotherapy through immuno-modulation and targeted drug delivery. In this talk, I will discuss our translational efforts to systematically interrogate the impact of thermal and mechanical FUS regimes on immunological sequelae and extracellular vesicles in solid tumor settings (e.g. metastatic breast cancer, glioblastoma). I will also introduce our goal of ushering FUS into the era of precision immuno-oncology using advanced imaging, liquid biopsy, and artificial intelligence.
*Contents*
0:00 - Introduction: J Glazier
2:17 - Coming Up Next week
3:33 - Seminar: Joao Xavier: Modeling Species Interaction in the Gut Microbiota using Data from Hospitalized Patients
28:13 - Q&A Session
33:37 - Seminar: Natasha D Sheybani: Ushering Therapeutic Sound Waves into the Era of Precision Cancer Immuno-Oncology
1:11:27 - Q&A Session
Joao Xavier
Memorial Sloan Kettering Cancer Center
The gut microbiota is a microbial ecosystem amenable to mathematical modeling. We will discuss our work at the Memorial Sloan-Kettering Cancer Center where we use data from patients to quantify the ecological interactions. The data consists of timeseries of microbial populations and clinical metadata such as the antibiotics given to patients and their number of white blood cells on each day. The model reveals which microbes are most important for patient immunity. Studying ecology directly from patient data can help drive new treatments to modulate immunity by engineering the gut microbiome.
Ushering Therapeutic Sound Waves into the Era of Precision Cancer Immuno-Oncology
Natasha D Sheybani
University of Virginia
Despite the promise of cancer immunotherapy, a significant fraction of cancer patients are yet unable to realize its unparalleled benefits. Focused ultrasound (FUS) is a versatile, emerging technology for the non-invasive, non-ionizing, and precisely targeted deposition of acoustic energy into tumor tissues. Recent years have unveiled the capacity of FUS to potentiate cancer immunotherapy through immuno-modulation and targeted drug delivery. In this talk, I will discuss our translational efforts to systematically interrogate the impact of thermal and mechanical FUS regimes on immunological sequelae and extracellular vesicles in solid tumor settings (e.g. metastatic breast cancer, glioblastoma). I will also introduce our goal of ushering FUS into the era of precision immuno-oncology using advanced imaging, liquid biopsy, and artificial intelligence.
*Contents*
0:00 - Introduction: J Glazier
2:17 - Coming Up Next week
3:33 - Seminar: Joao Xavier: Modeling Species Interaction in the Gut Microbiota using Data from Hospitalized Patients
28:13 - Q&A Session
33:37 - Seminar: Natasha D Sheybani: Ushering Therapeutic Sound Waves into the Era of Precision Cancer Immuno-Oncology
1:11:27 - Q&A Session
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