Life Sciences Today
Life Sciences Today
Podcast Description
A front row seat to the latest technology happenings in Life Sciences and Pharma Today. Brought to you by Healthcare IT Today
Podcast Insights
Content Themes
This podcast focuses on intersections between healthcare IT and life sciences, with themes including drug selection optimization, real-world data utilization, and trial simulations. Specific episode highlights include discussions on Quanthealth's simulation capabilities and the implications of utilizing an extensive patient records database, featuring examples like reducing trial sizes and saving costs in clinical operations.
The Life Sciences Today podcast by Healthcare IT Today brings you strategic conversations with life science founders. Hosts Danny Lieberman and John Lynn and their guests reveal the patterns behind sustainable competitive advantages. Subscribe to the Clear Thinking newsletter by Danny Lieberman for deeper pattern analysis.
We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Ayelet Geva, Innovation and Business Development at the Jusidman Cancer Center at Sheba Medical Center. Most oncology innovations die, not in the lab, but in the gap between clinical proof and real-world implementation. Geva’s seen what separates the solutions that scale from the ones that stall: it’s not the science. It’s whether you’ve answered the hard questions — who pays, who changes their workflow, and what adoption looks like outside a controlled study — before you’ve run your first trial. In this episode, Geva shares how her unit approaches innovation differently: starting with the intended use, the value proposition, and the “future label,” then working backwards into evidence, data, partnerships, and adoption models.
Check out the main topics of discussion for this episode of the Life Sciences Today podcast:
- Tell us about your journey to the Sheba Medical Center.
- What does a typical work week look like to you?
- What does value creation mean to you? Is it a clinical outcome, workflow efficiency, operational cost reduction, or something else entirely?
- How does the Cancer Center think about capturing value from the innovation that you develop?
- What are three concrete things an oncologist should try out with AI this year?
- What is the biggest anti-pattern in your industry today?
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If you work in Life Sciences IT, we’d love to hear where you agree and/or disagree with our takes on health IT innovation in life sciences. Feel free to share your thoughts and perspectives in the comments of this post, in the YouTube comments, or privately on our Contact Us page. Let us know what you think of the podcast and if you have any ideas for future episodes.
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