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Tech Anatomy - HealthTech Massively Simplified

Tech Anatomy - HealthTech Massively Simplified

Written by: MedShake Studio
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About this listen

Tech Anatomy — Health tech massively simplified Decoding AI, Web3, and digital health so health industry leaders can turn complexity into action. Welcome to Tech Anatomy — your bilingual (English & French) dive into the intersection of health and technology. I’m Anca Petre (pharmacist, entrepreneur, health-tech strategist), and here we make the complex accessible. Produced by MedShake Studio, a leading podcast production studio dedicated to healthcare, this channel delivers: Clear, structured explanations of AI, Web3, digital twins, data analytics, virtual care, and more Use cases, trends, and critical insights — grounded in real health industry challenges Myth-busting and sense-making: what works, what doesn’t, where to begin We publish fresh episodes every week — so hit Subscribe to stay updated. Hosted on Ausha. See ausha.co/privacy-policy for more information.MedShake Studio Hygiene & Healthy Living
Episodes
  • 🇫🇷 Développer une IA médicale : le cas MedGPT avec Louis Létinier, Synapse Medicine
    Jan 13 2026

    Dans cet épisode, découvrez MedGPT, l’assistant médical développé par Synapse Medicine. Louis Létinier, directeur médical et cofondateur, partage les coulisses de ce projet ambitieux : de la genèse à la technologie utilisée, en passant par les enjeux de souveraineté, les sources médicales de référence et les premiers retours terrain.


    Au programme :

    • Pourquoi une IA 100 % française pour les soignants

    • Comment MedGPT sélectionne et structure ses sources médicales

    • Les différences clés avec ChatGPT et Open Evidence

    • Les cas d’usage les plus pertinents aujourd’hui

    • L’avenir de l’IA générative en santé en Europe


    Un épisode passionnant pour comprendre les enjeux concrets de l’IA dans la pratique médicale.


    Crédits :
    Production : MedShake Studio
    Host : Anca Petre


    Hosted on Ausha. See ausha.co/privacy-policy for more information.

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    19 mins
  • Machine learning made ridiculously simple (part 2)
    Oct 14 2025

    In this episode of Tech Anatomy, we bring machine learning out of theory and into practice with three real-world use cases that are already improving healthcare today.


    Topics Covered:

    • Classifying tumors as benign or malignant using logistic regression

    • Predicting hospital readmissions to improve patient outcomes

    • Estimating length of hospital stay with linear regression

    • How hospitals are using ML models to support faster, smarter decisions

    • Breaking down complex AI concepts into simple, step-by-step processes


    Credits:
    Production: MedShake Studio
    Host: Anca Petre


    Stay connected and learn more:

    • LinkedIn: linkedin.com/in/ancapetre

    • Website: www.ancapetre.com & www.medshake-studio.com

    • Email: anca@medshakestudio.com


    More about the podcast:
    Tech Anatomy is where health meets technology — and complexity becomes clarity.

    Hosted by Anca Petre, pharmacist, entrepreneur, and health tech expert, this bilingual (English & French) podcast explores the innovations shaping the future of healthcare: AI, digital twins, data, virtual care, and more.

    Each episode is a guided exploration: we dissect technology like in a lab, highlight what truly matters, and debunk common myths — health industry leaders the clarity they need to understand, anticipate, and act on technological change.

    With a clear, professional, and approachable tone, Tech Anatomy makes health tech massively simplified — without ever compromising on depth or rigor.


    Hosted on Ausha. See ausha.co/privacy-policy for more information.

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    6 mins
  • Machine learning made ridiculously simple (part 1)
    Oct 9 2025

    What Is Machine Learning, Really?

    In this episode, we break down one of the most hyped—and often misunderstood—technologies of our time: machine learning. Forget the buzzwords and sci-fi fantasies—this is your no-nonsense guide to what machine learning actually is, how it works, and why it matters.

    Whether you’ve nodded through countless meetings or podcasts without really getting it, or you just want a clearer understanding of the basics, this episode is for you.


    Topics Covered:

    • What machine learning actually is (and what it isn’t)

    • The difference between learning by instruction vs. learning by example

    • Step-by-step breakdown: how a model is built, trained, and tested

    • Real-world example: predicting diabetes using patient data

    • Common challenges like messy data and overfitting

    • Why understanding machine learning is empowering—not intimidating


    Credits:
    Production: MedShake Studio
    Host: Anca Petre


    Stay connected and learn more:

    • LinkedIn: linkedin.com/in/ancapetre

    • Website: www.ancapetre.com & www.medshake-studio.com

    • Email: anca@medshakestudio.com


    More about the podcast:
    Tech Anatomy is where health meets technology — and complexity becomes clarity.

    Hosted by Anca Petre, pharmacist, entrepreneur, and health tech expert, this bilingual (English & French) podcast explores the innovations shaping the future of healthcare: AI, digital twins, data, virtual care, and more.

    Each episode is a guided exploration: we dissect technology like in a lab, highlight what truly matters, and debunk common myths — health industry leaders the clarity they need to understand, anticipate, and act on technological change.

    With a clear, professional, and approachable tone, Tech Anatomy makes health tech massively simplified — without ever compromising on depth or rigor.


    Hosted on Ausha. See ausha.co/privacy-policy for more information.

    Show More Show Less
    9 mins
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