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Description: In this episode, we delve into the dynamic world of cancer research, where artificial intelligence (AI) meets oncology to shape the future of healthcare. Our guest, Ali Khajegili Mirabadi, a PhD student in Bioinformatics at the University of British Columbia, takes us on a captivating journey through the impact of AI in cancer research and its potential to revolutionize the field. Discover how AI serves as a powerful ally in the battle against cancer, particularly rare and complex forms. Ali sheds light on the challenges of handling vast amounts of complex data and how AI helps identify patterns and similarities that may be imperceptible to the human eye. These insights have the potential to lead to groundbreaking discoveries in the world of cancer subtyping and personalized treatment.

Bio:  Ali Khajegili Mirabadi is a second-year PhD student in Bioinformatics at the University of British Columbia. His research focuses on Artificial Intelligence (AI)-based cancer patient similarity learning to advance clinical precision medicine. He primarily targets rare cancers across all organs, utilizing microscopic tissue images, clinical data, and genome information to enhance AI models' ability to identify patient similarities and trends in treatment. Supported by the UBC Four Year Fellowship in Dr. Bashashati’s research lab, Ali's work carries significant potential for improving patient care. Before joining UBC, he simultaneously achieved two undergraduate degrees in Electrical Engineering and Applied Mathematics with honors from the Isfahan University of Technology, Iran.

Link to the Dr. Ali Bashashati's lab website:
https://aimlab.ca/team/
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For more information on the Gynecologic Cancer Initiative, please visit https://gynecancerinitiative.ca/ or email us at info@gynecancerinitiative.ca  
 
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For more information on the Gynecologic Cancer Initiative, please visit https://gynecancerinitiative.ca/ or email us at info@gynecancerinitiative.ca

Where to learn more about us:
Twitter – @GCI_Cluster
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