Reporter:Edwin Wang Bet365 betting website of Calgary, Canada
Reporting location: Campus Computer Building 313
Bet365 betting website time:2023 11month7Sunday (Tuesday) afternoon4：00
Bet365 betting website title:Digital Genomics
Personal introduction:
Lots of health and genomic Bet365 betting website have been generated, while artificial intelligence such as machine learning, especially deep learning technologies have been significantly advanced. It is a new era of precision medicine by applying machine learning and deep learning approaches into big Bet365 betting website in medicine. I will present new concepts about how to transform genomic Bet365 betting website into the Bet365 betting website formats which could be applied for constructing predictive models using artificial intelligence and genomic Bet365 betting website and lifestyle Bet365 betting website in cancer and other diseases. The predictive models have been used for predicting cancer risk, tumor recurrence, prognosis and matching drugs for cancer patients. I will talk about several novel artificial intelligence algorithms which we have developed in past of few years in my lab.
Bet365 betting website Introduction:
Edwin has an undergraduate training in Computer Science and a PhD training in Molecular Genetics (UBC - Bet365 betting website of British Columbia, 2002). After one-year postdoc training at FlyBase, a genome database of fly, he moved to National Research council Canada as a PI for establishing bioinformatics Lab for conducting computational genomics and machine learning research. In 2016, he became an AISH Chair Professor at Bet365 betting website of Calgary. In Calgary, he has two labs – a computational lab for conducting deep learning in genomics and health informatics, and a wet lab for conducting single-cell genomics experiments for system medicine. His pioneering work of cancer network motifs has been featured in the college textbook, GENETICS (2014/2017) written by a Nobel Laureate, Dr. Hartwell and the father of systems biology, Dr. Hood. His pioneering work of microRNA of signaling networks opens the new research area: network biology of non-coding RNAs.
