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Artificial intelligence: Mayo Clinic Center for Individualized Medicine
Episode 100

Artificial intelligence: Mayo Clinic Center for Individualized Medicine

It has been a remarkable year of discoveries and medical advances at Mayo Clinic's Center for Individualized Medicine. Some innovations include personalized treatments for cancer and rare diseases, and the development of lifesaving artificial intelligence algorithms. All of the center’s efforts are driven by advanced genetic analysis and aimed at providing patients with answers, treatment options and optimism. On the Mayo Clinic Q&A podcast, Dr. John Kalantari discusses artificial general intelligence. Dr. Kalantari is an associate consultant in the Department of Surgery, and a faculty member in the Mayo Clinic Center for Individualized Medicine Microbiome Program. He has a joint appointment in the department of Health Sciences Research. His research focuses on artificial general intelligence and the development of AI algorithms for predictive analytics, clinical decision-making and causal inference for preventive medicine.

Mayo Clinic Health Matters

October 3, 202014m 23s

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Show Notes

It has been a remarkable year of discoveries and medical advances at Mayo Clinic's Center for Individualized Medicine. Some innovations include personalized treatments for cancer and rare diseases, and the development of lifesaving artificial intelligence algorithms. All of the center’s efforts are driven by advanced genetic analysis and aimed at providing patients with answers, treatment options and optimism. On the Mayo Clinic Q&A podcast, Dr. John Kalantari discusses artificial general intelligence. Dr. Kalantari is an associate consultant in the Department of Surgery, and a faculty member in the Mayo Clinic Center for Individualized Medicine Microbiome Program. He has a joint appointment in the department of Health Sciences Research. His research focuses on artificial general intelligence and the development of AI algorithms for predictive analytics, clinical decision-making and causal inference for preventive medicine.



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