How is Machine Learning Improving the How, What, and When of Cancer Diagnosis? with Dr. Adam Yala

What happens when a precision health researcher reimagines cancer screening from the ground up—and then builds the AI to make it possible?

In this episode of Neural Compass, Dr. Adam Yala, Assistant Professor at UC Berkeley and UCSF, joins Jimini’s Mark Jacobstein for a deep dive into the future of personalized medicine.

They cover:

- Why traditional cancer screening is too coarse—and how AI can change that

- Building risk prediction models that outperform today’s gold standards

- The challenges (and promise) of applying machine learning in real clinical workflows

- What adaptive trials, synthetic data, and LLM safety have in common

Learn more: jiminihealth.com