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Sisällön tarjoaa Centre for Living Organ Donation, Ajmera Transplant Centre, Toronto General Hospital, and UHN. Centre for Living Organ Donation, Ajmera Transplant Centre, Toronto General Hospital, and UHN tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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Manage episode 370732204 series 3446895
Sisällön tarjoaa Centre for Living Organ Donation, Ajmera Transplant Centre, Toronto General Hospital, and UHN. Centre for Living Organ Donation, Ajmera Transplant Centre, Toronto General Hospital, and UHN tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

In this episode, host Candice Coghlan sat down with Shilpa Raju, an epidemiologist who finished her degree while battling cancer. She survived the cancer, however unfortunately the side effects from her treatment caused severe lung damage, resulting in her need for a double lung transplant. Shilpa spoke about being a young person battling illness and trying to keep a sense of normalcy and positivity through her day to day. Later, we were joined by Dr Mamatha Bhat, a staff hepatologist and clinician scientist at UHN's Ajmera Transplant Program and University of Toronto's division of gastroenterology. She speaks to us about machine learning and AI implications for health care and how it is going to revolutionize the world of transplant and beyond.

To learn more about Dr. Bhat's research in Artificial intelligence, machine learning and deep learning in liver transplant visit: https://pubmed.ncbi.nlm.nih.gov/37208107/

For information about living organ donation visit www.livingorgandonation.ca or www.uhntransplant.ca

You can also reach out to us directly at livingorgandonation@uhn.ca

The views and opinions expressed in this episode do not necessarily reflect the official policy or position of Toronto General Hospital or University Health Network.

  continue reading

64 jaksoa

Artwork
iconJaa
 
Manage episode 370732204 series 3446895
Sisällön tarjoaa Centre for Living Organ Donation, Ajmera Transplant Centre, Toronto General Hospital, and UHN. Centre for Living Organ Donation, Ajmera Transplant Centre, Toronto General Hospital, and UHN tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

In this episode, host Candice Coghlan sat down with Shilpa Raju, an epidemiologist who finished her degree while battling cancer. She survived the cancer, however unfortunately the side effects from her treatment caused severe lung damage, resulting in her need for a double lung transplant. Shilpa spoke about being a young person battling illness and trying to keep a sense of normalcy and positivity through her day to day. Later, we were joined by Dr Mamatha Bhat, a staff hepatologist and clinician scientist at UHN's Ajmera Transplant Program and University of Toronto's division of gastroenterology. She speaks to us about machine learning and AI implications for health care and how it is going to revolutionize the world of transplant and beyond.

To learn more about Dr. Bhat's research in Artificial intelligence, machine learning and deep learning in liver transplant visit: https://pubmed.ncbi.nlm.nih.gov/37208107/

For information about living organ donation visit www.livingorgandonation.ca or www.uhntransplant.ca

You can also reach out to us directly at livingorgandonation@uhn.ca

The views and opinions expressed in this episode do not necessarily reflect the official policy or position of Toronto General Hospital or University Health Network.

  continue reading

64 jaksoa

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