Leveraging real time biology to streamline the discovery, validation, and translation of cell...

Presented By:
Anthony E. Zamora, PhD
Speaker Biography:
Dr. Anthony E. Zamora obtained his PhD in Immunology from the University of California, Davis in 2015. During his doctoral training he performed studies on the immunoregulatory roles of NK cell subsets on T cells during viral infection, cancer, and following allogeneic hematopoietic stem cell transplantation. Additionally, he studied the impact of age and obesity on systemic cancer immunotherapy regimens in various cancers. After completing his doctoral degree, he completed a four-year postdoctoral fellowship at St. Jude Children’s Research Hospital. His research focused on characterizing the neoantigen-specific CD8+ T cell responses in pediatric patients with acute lymphoblastic leukemia (ALL) and developing high-throughput screening assays to identify targetable neoantigens in ALL, acute myeloid leukemia, and pancreatic cancer. In 2019, Dr. Zamora joined the Division of Hematology and Oncology, Department of Medicine, at the Medical College of Wisconsin where his research program is focused on comprehensively assessing the determinants of T cell mediated antitumor immunity and identifying ways to modulate the immune system to target and eliminate cancerous cells more effectively.
Webinar:
Leveraging real-time biology to streamline the discovery, validation, and translation of cell-based therapies for cancer
Webinar Abstract:
In both the research and clinical setting, being able to identify and collect biologically meaningful data related to productive antitumor responses is of paramount importance when trying to evaluate the efficacy of a particular cell-based cancer immunotherapy. Historically, this has been a major bottleneck for investigators as many of the available technologies provide readouts of limited utility due to constraints surrounding experimental throughput, end-point readouts where a single measurement is performed after some arbitrary fixed amount time, and the inability to link multi-modal data back to single cells of interest. In his talk, Dr. Anthony E. Zamora will highlight current research being performed in his lab that highlight how the Beacon platform and real-time biological readouts can be leveraged to help unravel the biological complexities that exist across many of today’s leading cell-based therapies for cancer and how multi-modal data can be used to gain insight into the biological parameters that are associated with clinical efficacy.
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