AI in Cancer Care Supporting Patients Enhancing Vaccines and Predicting Risks

Oncologists should ask in advance about what young patients and their parents want to be told about changing prognoses, a new qualitative study finds

In this month’s episode of Tuning In to the C-Suite, Briana Contreras, an editor of Managed Healthcare Executive, got to chatting with Sanjula Jain, Ph.D., chief research officer at Trilliant Health.

One particular application of AI on the rise at City of Hope is the development of a large language model (LLM) made specifically for oncology.

In this episode of Tuning In to the C-Suite, Briana Contreras, editor with Managed Healthcare Executive spoke with Dr. Yuri Fesko, oncologist and vice president of Medical Affairs at Quest Diagnostics. In the conversation, Dr. Fesko addressed the ongoing issue of long gaps of times between receiving a diagnosis for a type of cancer and finally getting the treatment for it. Dr. Fesko shared the benefits a number of sectors receive when treating patients sooner and the steps to get there.

In a February 2025 Time magazine cover story, Jamie Ducharme reports on this atypical and disquieting trend. Ducharme cites a 79% increase in early-onset cancer diagnoses and a 28% increase in cancer-related deaths in this age group from 1990 to 2019.

In a real-world study, researchers found this data by comparing treatment patterns, healthcare resource utilization, and costs between patients receiving CAR T-cell therapy and those treated with the non-CAR T standard of care.