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Episode 37: AI and the Future of Organ Transplants: Improving Lives One Match at a Time
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In today’s episode: Did you know that over 100,000 people in the U.S. are waiting for an organ transplant, with someone added to the list every 10 minutes? Despite 42,888 transplants in 2022, 17 people die each day still waiting. Kidneys make up 75% of these transplants, largely due to the high incidence of chronic kidney disease.
But here's the game-changer: AI is stepping in to help. From improving donor-recipient matches and assessing organ viability to monitoring patient health with wearables and personalizing medications, AI is reshaping the future of organ transplants. It’s already helping save lives by reducing wait times and improving outcomes.
If you found today’s episode interesting, hit like, subscribe, and share. Let’s raise awareness about the incredible role AI can play in saving lives through organ transplants!
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RESOURCES MENTIONED
👉🏾 Organ Transplant Statistics:
- Organ Procurement and Transplantation Network (OPTN) – for data on the national transplant waiting list, transplants performed, and organ donation statistics.
- United Network for Organ Sharing (UNOS) – provides up-to-date information on transplant statistics and waiting lists.
👉🏾 AI in Healthcare:
- National Institute of Health (NIH) – for research on AI’s role in healthcare, including its applications in transplant matching and post-surgery monitoring.
- PubMed – for peer-reviewed studies on AI’s impact on organ transplant outcomes, such as improving donor-recipient matching and post-transplant monitoring.
👉🏾 Transplant Rejection Rates and Survival Rates:
- American Society of Transplantation (AST) – for information on transplant rejection rates, survival rates, and immunosuppressive drug management.
👉🏾 AI in Organ Viability Assessment:
- Stanford Medicine and Mayo Clinic – both institutions are conducting research on AI applications in assessing organ viability and improving the efficiency of organ transplants.
👉🏾 AI and Medication Optimization:
- Research papers from the The Lancet Journal and Journal of Medical Internet Research on AI-driven personalized medicine for transplant recipients.
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