Deep Learning: is a subfield of machine learning done with algorithms inspired by the function of the brain called artificial neural networks. Deep learning models are inspired by information processing and communication patterns in biological nervous systems. Deep learning removes manual identification of features in data. Instead it relies on whatever training process to be able to discover the useful patterns in the input examples.
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Effective immunotherapy of pancreatic ductal adenocarcinoma (PDAC) is hampered by the lack of suitable tumor-specific antigens. To address this challenge, we have combined high-throughput fl...
Date: Septembr 29, 2021 Time: 11:00am (PDT), 2:00pm (EDT) 3D cell models are becoming increasingly popular for studying complex biological effects, tissue functionality, and diseases. While...
Date: September 23, 2021 Time: 8:00am (PDT), 11:00am (EDT) The tumor microenvironment (TME) comprises complex cellular and structural features. The processes and interactions within the TME...
Targeted stimulation of the brain has the potential to treat mental illnesses but designing an appropriate protocol requires a multitude of choices. I will describe an approach to help desig...
Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear...
Multiscale modeling has arisen as a focus of computational systems biology, with the realization that genome, proteome, connectome, etceteromes, will only become comprehensible once placed i...
Date: July 15, 2021 Time: 8:00am (PDT), 11:00am (EDT) High dimensional full spectrum flow cytometry grants unprecedented access to previously unattainable parameters in cellular biology. Flu...
Date: June 24, 2021 Time: 10:00am PDT The Chan Zuckerberg Initiative (CZI) was founded to help solve some of society’s toughest challenges— from eradicating disease and improving...
DATE: June 17, 2021 TIME: 07:00am PDT Colorectal cancer is a particularly challenging disease for immunotherapy given tumor heterogeneity. Multiplexed whole slide imaging allows deep context...
DATE: June 9, 2021 TIME: 8:00am PDT Analyzing antigen-specific T cells is essential to understand fundamental immunological processes in the contexts of immuno-oncology, infectious dise...
Date: June 08, 2021 Time: 08:00am (PDT) COVID-19 displays high clinical variability, but what determines its severity is unclear. Analysis of antigen-specific T cell responses has contribu...
Date: May 27, 2021 Time: 11:00am PDT, 2:00pm EDT Microbiome studies often suffer from issues that recent technological advances can solve easily. In this seminar, we will walk through planni...
Date: May 27, 2021 Time: 8:00am (PDT), 11:00am (EDT) With social distancing measures still enforced in large parts of the world, many researchers must minimize time in the lab where they may...
Date: May 18, 2021 Time: 8:00am (PST) The global pandemic has caused an increased focus and scrutiny on molecular diagnostic assay development, resulting in a need for assays that provide qu...
Bridging a deep understanding of molecular profiles with clinical information is critical to developing innovative precision medicine tools in oncology. Discovery’s recently launched S...