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Life Sciences Today

Life Sciences Today

Auteur(s): Danny Lieberman and John Lynn
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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.2025 Hygiène et mode de vie sain Troubles et maladies
Épisodes
  • Data Integrity, Synthetic Data, and Strategic Moats in Healthcare Analytics - Life Sciences Today Podcast Episode 43
    Jan 9 2026
    We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Daniel Blumenthal, VP of Strategy at MDClone. I talk with MDClone’s VP Strategy about how the company evolved from an early synthetic data pioneer (2016) into a broader data-access and data-extraction platform in a now-crowded market (Snowflake, Oracle, Epic, many synthetic data vendors). Our discussion explores MDClone’s core “nexus” capability of extracting privacy-protected, row-level longitudinal patient data from heterogeneous healthcare systems and producing different types of synthetic data for distinct use cases (research, cross-site collaboration, model development/validation). A major theme is the industry shift from focusing mainly on data access/privacy to treating data integrity and trust as the new frontier and core IP for health systems, pharma, and AI. We debate strategic moats (product vs. project, partnerships vs. competition, where MDClone controls the data supply chain) and how MDClone can remain indispensable as AI and analytics mature. The episode closes with how all this ultimately must translate into better patient outcomes and trustworthy next-generation AI models. Check out the main topics of discussion for this episode of the Life Sciences Today podcast: How has MDClone evolved over the nine years since you became the first employee outside Israel?Synthetic data is now crowded and partially commoditized; what still differentiates MDClone in 2025?In the CIA triad (confidentiality, integrity, availability), is the real new frontier now data integrity rather than access/privacy?What specific part of the healthcare data supply chain does MDClone control that large partners like Snowflake, Epic, or Palantir cannot easily replace?Is MDClone ultimately a product company or a series of bespoke projects, given all the customization and services required?How do you use synthetic data differently for distinct utilities (knowledge gain, cross-site collaboration, model development/validation)?What do you think about trust, privacy, and the patient’s role when patient data is treated as core IP for organizations?How can MDClone help ensure that AI models (including LLMs) are trained and validated on high-integrity, trustworthy data rather than “shitty data”?In a world where every major player can analyze clinical data, what will make MDClone indispensable?How do you see MDClone’s role in directly improving patient outcomes through better data and analytics? Now, without further ado, we’re excited to share with you the next episode of the Life Sciences Today podcast. Subscribe to Danny’s newsletter to get strategic patterns for life science leaders building a defensible business. Be sure to subscribe to the Life Sciences Today Podcast on your favorite podcasting platform: Apple PodcastsSpotifyiHeartRadioAmazon MusicPandoraYouTube Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube. Plus, all of the audio and video versions will be made available to stream on Healthcare IT Today. As a former pharma-tech founder who bootstrapped to exit, I now help TechBio and digital health CEOs grow revenue—by solving the tech, team, and go-to-market problems that stall your progress. If you want a warrior by your side, connect with me on LinkedIn. 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. Thanks so much for listening!
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    Moins d'une minute
  • Brain Health, Behavior, and the Future of Dementia Prevention - Life Sciences Today Podcast Episode 42
    Jan 2 2026

    We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is David Bates, Founder and CEO at Linus Health. I talk with David Bates about Linus Health’s mission to transform brain health from late-stage “sick care” to proactive, preventive care. David explains his journey from signal detection research and investing in built-environment technologies to founding Linus Health around the insight that behavior is the primary observable output of the brain. We discuss Linus’s 3-minute digital cognitive assessments that turn rich behavioral signals into thousands of digital biomarkers, enabling highly sensitive, objective measurement of cognition and early detection of impairment years before symptoms. Our conversation covers the company’s focus on primary care and health systems as core customers, revenue and ROI in fee-for-service and value-based care, and Linus’s data moat of large, diverse, longitudinal datasets. We explore how clinically integrated, consumer-accessible tools could make brain health monitoring continuous—like a “blood pressure cuff for the brain”—and why this paradigm shift is critical for both healthcare delivery and drug development.

    Check out the main topics of discussion for this episode of the Life Sciences Today podcast:

    • How did your background in signal detection, multimodal sensing, and investing lead you to found Linus Health?
    • What does Linus Health’s platform actually do, and how are your digital assessments different from traditional paper-based cognitive tests?
    • Who are your main customers today (primary care, health systems, pharma, payers), and how do you create and capture value across these different buyer types?
    • How do you translate thousands of digital biomarkers and AI/ML models into clinically meaningful insights, and how often are your models updated?
    • What is your long-term vision? Is the biggest opportunity in supporting drug development, or in becoming a clinically integrated, mass-market “Internet of bodies” brain health platform for consumers?

    Now, without further ado, we’re excited to share with you the next episode of the Life Sciences Today podcast.

    Subscribe to Danny’s newsletter to get strategic patterns for life science leaders building a defensible business.

    Be sure to subscribe to the Life Sciences Today Podcast on your favorite podcasting platform:

    • Apple Podcasts
    • Spotify
    • iHeartRadio
    • Amazon Music
    • Pandora
    • YouTube

    Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube. Plus, all of the audio and video versions will be made available to stream on Healthcare IT Today. As a former pharma-tech founder who bootstrapped to exit, I now help TechBio and digital health CEOs grow revenue—by solving the tech, team, and go-to-market problems that stall your progress. If you want a warrior by your side, connect with me on LinkedIn.

    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.

    Thanks so much for listening!

    Voir plus Voir moins
    40 min
  • Real-Time Pharma Insights: Philip Poulidis on Scaling ODAIA AI
    Dec 26 2025

    We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Philip Poulidis, CEO at Toronto-based ODAIA. Poulidis is tackling one of pharma’s biggest bottlenecks: slow, siloed commercial analytics. Spun out of academic research, ODAIA’s real-time AI platform unifies patient and HCP journey data, replacing months-old reports with dynamic insights that help reps, liaisons, and marketers target the right physicians at the right time — improving prescriptions, outcomes, and patient access. regulated by the USDA/FDA.

    Check out the main topics of discussion for this episode of the Life Sciences Today podcast:

    • Tell me about your journey.
    • Tell me about ODAIA AI.
    • Who are your customers?
    • How do you create value?
    • How do you capture value from customers?
    • What are three things you want to do for your customers in the next 12-18 months?

    Now, without further ado, we’re excited to share with you the next episode of the Life Sciences Today podcast.

    Subscribe to Danny’s newsletter to get strategic patterns for life science leaders building a defensible business.

    Be sure to subscribe to the Life Sciences Today Podcast on your favorite podcasting platform:

    • Apple Podcasts
    • Spotify
    • iHeartRadio
    • Amazon Music
    • Pandora
    • YouTube

    Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube. Plus, all of the audio and video versions will be made available to stream on Healthcare IT Today. As a former pharma-tech founder who bootstrapped to exit, I now help TechBio and digital health CEOs grow revenue—by solving the tech, team, and go-to-market problems that stall your progress. If you want a warrior by your side, connect with me on LinkedIn.

    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.

    Thanks so much for listening!

    Voir plus Voir moins
    32 min
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