Cancer research is moving faster than ever—but too many patients never feel the impact of that progress. Artificial Intelligence (AI) is emerging as one tool that could help change that.

In the Season 6 finale of Science Will Win, Dr. Raven Baxter follows the human journey behind AI in oncology—from the moment of diagnosis to the real‑world barriers that determine access to care.

Along the way, we explore how thoughtfully designed artificial intelligence is reshaping trial design, enrollment, eligibility, and access—helping patients regain agency and bridging the gap between scientific breakthroughs and real‑world cancer care.

As the season concludes, one thing is clear: progress matters most when it reaches the people who need it.

Featured guests:
– Dr. Lionel Kankeu Fonkoua, Medical Oncologist and Translational Researcher, Mayo Clinic
– Jeff Legos, Chief Oncology Officer, Pfizer
– Dr. Ravi Parikh, Medical Oncologist; Director, Human‑Algorithm Collaboration Lab
– Maya R. Said, Founder and CEO, Outcomes4Me

Dive into the episode here:
00:00 – Past episodes introduce us to an emerging tech advancement
04:16 – What is a clinical trial?
07:35 – AI accelerating the pace of oncology
12:42 – Clinical trials and AI: How can it help?
16:17 – A gap between innovation and patient access
19:16 – Maya's story
23:47 – Clinical trials for AI tools
27:54 – Conclusion: building pathways alongside scientific innovation

Check out our YouTube channel (@Pfizer) to watch full interviews between Raven & some of the patients featured.

Season 6 of Science Will Win is created by Pfizer and hosted by Dr. Raven Baxter. It’s produced by Acast Creative Studios. Hosts in this podcast series were compensated for their time.

*The content in this episode is for informational purposes only and does not provide medical advice. Pfizer does not endorse or sponsor third‑party tools referenced. Patients should not use the tools described as a replacement for discussions with a healthcare provider. Patients should consult their healthcare provider regarding medical decisions.

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The Pace of Science: AI in Cancer Care