From Fragmented Silos to Integrated Services: Transforming Cancer Care Delivery

What if the biggest barrier to better cancer care isn't technology—it's how physicians approach treatment with ego?



In this episode, we sit down with Dr. Talia Baker, a transplant surgeon who walked away from clinical practice to solve a problem she witnessed firsthand: the liver cancer patient journey is fundamentally broken.

Dr. Baker introduces the Lori MDT project, a vision for reshaping how patients navigate fragmented cancer care. But the real conversation goes deeper—into the uncomfortable truths about institutional incentives, the care gaps between diagnosis and treatment, and why even the best academic centers are limited by their own biases. Her core argument: fragmented cancer care demands interdisciplinary collaboration and technology-driven process re-engineering. The era of incremental improvements is over. The future belongs to integrated services that cut across specialties—not siloed excellence in labs or imaging alone.

What You Will Discover:

- How the system's fragmentation and silos fail patients today

- Why 75% of cancer patients don't get multidisciplinary care

- The hardest problem: physician hubris, not technology implementation

- The wisest surgical lesson—knowing when not to operate

- Why we lost sight of focusing too much on product quality over service integration

- Building mosaics of superpowers before digital twins take over

This isn't about replacing clinicians with AI—it's about collaboration across clinicians, technologists, patients, and systems to augment what we can do together.

Referenced in the show:

🖇️ "OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data" – https://arxiv.org/abs/2510.02410

🖇️ “Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap ” – https://www.nature.com/articles/s41746-025-01725-9

🖇️Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings – https://arxiv.org/abs/2510.09895

🖇️“Large language models forecast patient health trajectories enabling digital twins” –

https://www.nature.com/articles/s41746-025-02004-3

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram -