Yoel Bakas: Pancreatic Cancer Machine Learning Research Shows Promise
Yoel Bakas, Oncology Area Leader at GE HealthCare, shared a post on LinkedIn:
“AI Breakthrough: Pancreatic Cancer Machine Learning Research Shows Promise
Mayo Clinic’s AI research detects pancreatic cancer 438 days earlier with 97% accuracy vs. physicians alone at ~50%.
The reality: 3rd deadliest cancer globally, only 13% five-year survival rate.
The promise: Early detection research that could give more options to patients. Clinical trial launching soon.
If you’re a patient with pancreatic cancer, follow the extraordinary work being done by these leaders:
- Dr. Matthew Callstrom, M.D., Ph.D. (Mayo Clinic)
- Dr. Michael Chuong, MD, FACRO (Baptist Health)
- Dr. Allyson J. Ocean, M.D. Ocean (Weill Cornell Medicinel)
- Dr. James Good (GenesisCare UK)
Support Resources: Let’s Win Pancreatic Cancer – The Lustgarten Foundation – Pancreatic Cancer Action Network
This research exemplifies what AI is all about—transforming hope into potential reality for thousands of families.
What healthcare AI research excites you most?”
Video attached to the post.
Michael Chuong, Vice Chair and Medical Director of the Department of Radiation Oncology at Miami Cancer Institute, shared this post on LinkedIn, adding:
“Exciting stuff Yoel Bakas!! Thanks for bringing attention to this.
There is so much potential for AI to enhance early detection, improve treatment efficacy and safety, and generate more robust prognostic and predictive tools for pancreatic cancer – this all will lead to better quality of life, longer survival, and even cures.
We have started to think about this a lot at Baptist Health Miami Cancer Institute…. Does anyone want to partner with us and do something amazing?”
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