What It Takes to Turn Data and AI Discovery Into Outcomes with Dr. Alicia Zhou (Part 2)

AI Adoption in Oncology: Two Different Perspectives with the Oncology Brothers

In oncology, there are 40 to 50 new drug approvals and indications every year. How is any oncologist supposed to keep up with that and still see patients? In this episode, we’re joined by the Oncology Brothers - Dr. Rohit Gosain and Dr. Rahul Gosain. Rohit is an oncologist at Roswell Park Comprehensive Cancer Center with a background in computer engineering, and Rahul practices at the Wilmot Cancer Institute and holds an MBA alongside his MD. Together, they’ve built one of the most followed oncology podcasts in the U.S., helping clinicians make sense of the latest research in. We explore how their podcast came to be, and the value that it’s bringing to the community. We then dive deep into AI adoption. Rohit is already using ambient AI in his practice, while Rahul, by his own admission, is not, leading to a balanced discussion on what it will take to bring more oncologists on board. Covered in this episode: * How oncologists can keep up with rapid change. * How the OncBrothers built one of the most followed oncology podcasts. * Two different perspectives on AI adoption in oncology. * What’s holding clinicians back from using AI tools? * Where AI is already adding value in oncology practice. If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one. LEARN MORE OncBrothers on YouTube - https://www.youtube.com/@oncologybrothers [https://www.youtube.com/@oncologybrothers] DeepScribe - https://www.deepscribe.ai/ [https://www.deepscribe.ai/] CONNECT Dr. Rahul Gosain on LinkedIn - https://www.linkedin.com/in/gosainrahul [https://www.linkedin.com/in/gosainrahul] Dr. Rohit Gosain on LinkedIn - https://www.linkedin.com/in/rohit-gosain [https://www.linkedin.com/in/rohit-gosain] Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ [https://www.linkedin.com/in/komatthew/] LISTEN Spotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf [https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf] Apple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207 [https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207] YouTube - https://www.youtube.com/@deepscribeinc.5623 [https://www.youtube.com/@deepscribeinc.5623]

What It Takes to Turn Data and AI Discovery Into Outcomes with Dr. Alicia Zhou (Part 2)

Everyone agrees that AI will transform how we discover new cancer treatments. The big question though, is what will it take to get there? As access to new forms of data expands, the potential for breakthroughs grows with it. However, many of those breakthroughs risk never making it beyond the idea stage. This is part two of our conversation with Dr. Alicia Zhou, CEO at Cancer Research Institute. We focus on the role that data and AI has on patient outcomes, how the toolkit of a bench scientist is evolving, and whether fully automated discovery is on the horizon. We also address the adoption challenge - the gap between a promising innovation and the product that researchers and clinicians actually end up using. If you’re thinking about where AI is headed in cancer care and where the gaps lie in adoption, this is for you. Covered in this episode: * How AI is reshaping the future of scientific discovery. * What the next generation of tools for researchers may look like. * The potential of new data sources, including ambient clinical data. * What it takes to build tools that people actually use. * Bridging the gap between innovation and real-world adoption. If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one. LEARN MORE DeepScribe - https://www.deepscribe.ai/ [https://www.deepscribe.ai/] CONNECT Dr. Alicia Zhou on LinkedIn - https://www.linkedin.com/in/alicia-zhou-phd-03950610 [https://www.linkedin.com/in/alicia-zhou-phd-03950610] Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ [https://www.linkedin.com/in/komatthew/] LISTEN Spotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf [https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf] Apple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207 [https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207] YouTube - https://www.youtube.com/@deepscribeinc.5623 [https://www.youtube.com/@deepscribeinc.5623]

Where Startup Thinking Meets Scientific Research in Oncology with Dr. Alicia Zhou (Part 1)

What does it really take to build something new in healthcare? In this episode, I’m joined by Dr. Alicia Zhou, CEO at Cancer Research Institute. Alicia began her career as a bench scientist before moving into industry, where she spent nearly a decade as Chief Science Officer at Color, helping scale one of the Bay Area’s leading genomics companies. This is part one of our conversation, where we focus on the intersection of biology and technology. Alicia shares what she was able to bring from the startup world into scientific research and how speed and flexibility can be leveraged to create real impact. We also discuss the shift from hypothesis-driven to data-driven biology, and why even the most promising scientific innovation doesn’t automatically translate into a viable product. If you’re building within healthcare, this conversation offers a rare look at what it really takes. Covered in this episode: * The intersection of science and technology. * How startup thinking applies to healthcare. * A startup’s only real advantage. * The hidden skill to look for when building a team (beyond competency). * How the CRI Discovery Engine is changing how cancer immunotherapies are developed. If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one. LEARN MORE DeepScribe - https://www.deepscribe.ai/ [https://www.deepscribe.ai/] CONNECT Dr. Alicia Zhou on LinkedIn - https://www.linkedin.com/in/alicia-zhou-phd-03950610 [https://www.linkedin.com/in/alicia-zhou-phd-03950610] Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ [https://www.linkedin.com/in/komatthew/] LISTEN Spotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf [https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf] Apple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207 [https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207] YouTube - https://www.youtube.com/@deepscribeinc.5623 [https://www.youtube.com/@deepscribeinc.5623]

The Hidden Work Behind Complex Cancer Care with Dr. Aparna Parikh (Part 2)

In oncology, much of the work happens outside the exam room. In part two of our conversation with Dr. Aparna Parikh, practicing colorectal oncologist, Program Director of GI medical oncology, and Associate Professor at Harvard Medical School, we step into the reality of what it takes to manage a complex cancer case. We talk about the preparation behind each patient visit, the coordination required across surgeons and tumor boards, and the constant effort to make sure patients don’t fall through the cracks as information moves between teams. We also explore when clinicians might begin to trust AI tools with greater autonomy, and continue to consider whether new technologies could unintentionally widen the gap between well-resourced patients and everyone else. Listen now to hear what it really takes to keep complex cancer care coordinated behind the scenes. Covered in this episode: * What real workflows look like for complex cancer cases. * The challenges that competitive enrollment brings and potential solutions. * How data can help close the gaps in cancer care. * To what standard should we hold AI to? * How technology could help existing inequities in care. If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one. LEARN MORE DeepScribe - https://www.deepscribe.ai/ [https://www.deepscribe.ai/] CONNECT Dr. Aparna Parikh on LinkedIn - https://www.linkedin.com/in/aparna-parikh-9197a433 [https://www.linkedin.com/in/aparna-parikh-9197a433] Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ [https://www.linkedin.com/in/komatthew/] LISTEN Spotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf [https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf] Apple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207 [https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207] YouTube - https://www.youtube.com/@deepscribeinc.5623 [https://www.youtube.com/@deepscribeinc.5623]

Fixing The Access Gap in Oncology with Dr. Aparna Parikh

We often talk about the workflow gaps inside oncology. But there’s an even larger gap that happens before any workflow can even begin. What if the patient never makes it to the oncologist in the first place? In this episode, I’m joined by Dr. Aparna Parikh, practicing colorectal oncologist, Program Director of GI medical oncology, and Associate Professor at Harvard Medical School. Much of Dr. Parikh’s work focuses on the patients who need the most support from healthcare systems and technology, such as those who live far from screening centers, struggle with digital portals, or lack access to basic infrastructure. In this part one of our conversation, we discuss the barriers that prevent patients from reaching care at all, and where technology can and can’t help close those gaps. We also discuss how inequities extend into clinical trials, and which patients the current system favors. Listen in to hear where the real barriers to cancer care exist and what it will take to close the gap. Covered in this episode: * The gap that prevents many patients from accessing cancer care. * How inequitable access extends to clinical trials. * What needs to be in place before AI can truly help patients. * Lessons from cancer prevention efforts in rural communities. * What clinicians actually want from technology. If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one. LEARN MORE DeepScribe - https://www.deepscribe.ai/ [https://www.deepscribe.ai/] CONNECT Dr. Aparna Parikh on LinkedIn - https://www.linkedin.com/in/aparna-parikh-9197a433 [https://www.linkedin.com/in/aparna-parikh-9197a433] Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ [https://www.linkedin.com/in/komatthew/] LISTEN Spotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf [https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf] Apple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207 [https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207] YouTube - https://www.youtube.com/@deepscribeinc.5623 [https://www.youtube.com/@deepscribeinc.5623]