Tech Anatomy - HealthTech Massively Simplified

✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore 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.

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 regressionPredicting hospital readmissions to improve patient outcomesEstimating length of hospital stay with linear regressionHow hospitals are using ML models to support faster, smarter decisionsBreaking down complex AI concepts into simple, step-by-step processesCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore 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.

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 exampleStep-by-step breakdown: how a model is built, trained, and testedReal-world example: predicting diabetes using patient dataCommon challenges like messy data and overfittingWhy understanding machine learning is empowering—not intimidatingCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore 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.

Dans cet épisode, nous recevons le Dr Grégoire Pigné, oncologue-radiothérapeute, fondateur de Pulse Life et membre du Cercle P. Ensemble, nous explorons la troisième partie du rapport du Cercle P consacrée à l’adoption de l’intelligence artificielle et au rôle crucial des pouvoirs publics.Grégoire nous livre une analyse sans concession sur le décalage entre le potentiel technologique de l'IA et la réalité d'un système de santé sous tension. Nous discutons de la nécessité d'impliquer davantage les représentants de patients et les soignants dans la co-construction des outils numériques pour garantir leur utilité réelle. Enfin, l'épisode aborde les enjeux de souveraineté économique : comment la commande publique peut devenir un levier pour faire émerger des champions français de l'IA en santé.Sujets abordés :L'équation insoluble du système de santé actuel : vieillissement, polypathologies et pénurie de soignants.L'image d'Épinal de l'IA : entre fantasme de "machine magique" et peurs de remplacement.Le manque d'implication des représentants de patients dans les concertations publiques.L'importance de la formation : du patient "expert" au "soignant augmenté".Les risques spécifiques des IA génératives (LLM) et des hallucinations en médecine.Le levier de la commande publique pour soutenir les entreprises de santé françaises face à la concurrence mondiale.Crédits :Production : MedShake StudioAnimatrice : Anca PetreHosted on Ausha. See ausha.co/privacy-policy for more information.

Dans cet épisode, Lydia Morlet-Haïdara, juriste et directrice de l’Institut Droit et Santé, explore la place cruciale, mais encore trop marginale, des patients dans le développement de l'intelligence artificielle en santé. À travers l'analyse du rapport du Cercle P, nous décryptons pourquoi le cadre réglementaire actuel, bien que protecteur, manque de dynamisme pour encourager la démocratie sanitaire. De la transparence des algorithmes à la création de communautés de "bêta-testeurs" de santé via Mon Espace Santé, cet échange lève le voile sur les conditions d'une IA éthique, acceptée et véritablement utile aux soins.Sujets abordés :Le paradoxe du cadre réglementaire : Pourquoi le RGPD et l'IA Act protègent mais n'incitent pas à la participation.Le déficit d'information : Le constat que 45 % des professionnels ne disent pas à leurs patients qu'ils utilisent l'IA.Les risques de l'exclusion des patients : Défiance, outils inadaptés aux besoins réels et abandon des dispositifs.Propositions concrètes : Création de communautés de patients volontaires et utilisation de "Mon Espace Santé" comme levier.Évaluation et accès précoce : Pourquoi l'IA ne doit pas être évaluée comme un simple médicament.Données de santé : Le passage du consentement subi au "bien commun" et l'impact de la jurisprudence récente de la CJUE sur les données pseudonymisées.Crédits :Production : MedShake StudioAnimatrice : Anca PetreHosted on Ausha. See ausha.co/privacy-policy for more information.

Le role central du patient dans le déploiement de l'intelligence artificielle en sante : les conditions pour etablir la confianceDans cet episode, Anca Petre reçoit Jean-François Pomerol, CEO de Tribun Health et membre du Cercle P. Ils discutent du rapport recent du Cercle P sur la place des patients dans la construction des solutions d'intelligence artificielle en sante, en se concentrant particulierement sur les conditions necessaires pour etablir la confiance entre patients et outils d'IA.Lire le rapport : https://www.pfizer.fr/decouvrir-pfizer/nos-engagements/penser-le-systeme-de-sante-de-demainSujets abordes :- Le paradoxe entre la meconnaissance des outils d'IA par les patients et leur forte demande d'information- La confusion actuelle autour de ce que represente concretement l'intelligence artificielle en sante- Les caracteristiques d'une information vraiment utile et comprehensible pour les patients- Le role essentiel des professionnels de sante dans l'explication de ces nouveaux outils- La proposition de s'appuyer sur les societes savantes comme relais de confiance- L'idee de permettre aux etablissements de sante de communiquer sur leur usage de l'IA- L'importance de rendre les patients acteurs de cette transformation technologique- Les defis de la vulgarisation sans tomber dans le jargon technique- Comment informer sur les limites et risques sans creer d'angoisses supplementairesCredits :Production : MedShake StudioAnimatrice : Anca PetreSoutien : Pfizer FranceHosted on Ausha. See ausha.co/privacy-policy for more information.

In this special episode recorded live from Adopt AI Grand Palais, we speak with Reda Guiha, President of Pfizer France. The conversation explores how one of the world's leading pharmaceutical companies is implementing artificial intelligence across its operations and what this means for the future of healthcare.Topics Covered:- Pfizer's role in building Europe's AI healthcare ecosystem through partnerships- Achieving 25-30% efficiency improvements in preclinical programs through AI- Real-world AI diagnostics for rare diseases like transthyretin amyloidosis- Moving from reactive to proactive healthcare systems using AI- Tripling clinical trial success rates from 7% to 24% with AI integration- Key success factors for AI in healthcare: scientific rigor and global scalability- Advice for startups seeking pharmaceutical partnerships- The shift toward personalized patient care and communicationCredits:Production: MedShake StudioHost: Anca PetreHosted on Ausha. See ausha.co/privacy-policy for more information.

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 soignantsComment MedGPT sélectionne et structure ses sources médicalesLes différences clés avec ChatGPT et Open EvidenceLes cas d’usage les plus pertinents aujourd’huiL’avenir de l’IA générative en santé en EuropeUn épisode passionnant pour comprendre les enjeux concrets de l’IA dans la pratique médicale.Crédits :Production : MedShake StudioHost : Anca PetreHosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, Anca tells the fascinating story of AlphaFold, the AI system that cracked one of biology’s greatest mysteries: how proteins fold. What started as an ambitious challenge at DeepMind has become a transformative breakthrough with far-reaching implications for medicine, drug discovery, and beyond.Topics Covered:Why protein folding matters and why it was such a hard problemHow DeepMind shifted from game-playing AIs like AlphaGo to solving core problems in biologyThe evolution from AlphaFold 1 to AlphaFold 2 and what made the second version revolutionaryHow AlphaFold uses deep learning and transformer models to predict 3D protein structuresThe impact of AlphaFold across global research, healthcare, and biotechWhat’s next in AI-powered biology—from protein complexes to drug discoveryCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, we explore a major breakthrough in the world of artificial intelligence: Chain-of-Thought prompting. This new technique teaches AI to reason step by step—just like a human would—and it’s revolutionizing how machines tackle complex problems.Topics Covered:What Chain-of-Thought prompting is and how it worksWhy traditional AI models struggled with multi-step reasoningHow Chain-of-Thought led to massive performance gains on tasks like math word problemsThe importance of reasoning transparency and trust in AI systemsImplications for healthcare, logic, and problem-solving across industriesHow this shift signals a deeper, more human-like kind of machine intelligenceCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, we unpack a groundbreaking study that could reshape how we think about mental health care. For the first time, a fully automated generative AI chatbot—Therabot—has been rigorously tested in a randomized controlled trial to treat depression, anxiety, and eating disorders. The results? Promising, and possibly game-changing.Topics Covered:How Therabot was developed and clinically validatedKey findings from the NEJM AI-published studyThe significance of small but meaningful improvements in mental health symptomsUnderstanding therapeutic alliance with AI: can bots build trust?Implications for access, scalability, and the future of digital mental health careEthical considerations and what still needs to be addressedCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, we dive into HealthBench, a groundbreaking benchmark released by OpenAI to evaluate how well large language models perform in real-world healthcare conversations.Topics Covered:What makes HealthBench different from previous AI benchmarksHow GPT-3.5, GPT-4o, and the unreleased o3 model scoredWhy a 60% success rate still falls short of clinical standardsThe future role of AI in healthcare—augmentation, not replacementKey takeaways about responsible AI deployment in medicineCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, we uncover the surprising reality behind your medical records: even though your electronic health record (EHR) contains rich, personal data, most of it goes unused. We explore why that is — and how new technologies are beginning to unlock its potential.Topics Covered:What’s actually inside your EHR — and why it often stays siloedThe barriers to health data sharing, from privacy laws to unclear incentivesHow synthetic data is revolutionizing research and AI trainingThe rise of digital twins: virtual versions of patients used to personalize careWhat it takes to safely and ethically use personal health data in medicineCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, we dive into the world of synthetic data—a term that might sound intimidating but is revolutionizing the way we do healthcare research. Join us as we break down how fake-but-realistic data is helping solve some of medicine’s biggest challenges, from privacy to innovation.Topics Covered:What synthetic data is and why it matters for healthcareHow it protects privacy while enabling faster, safer researchThe main techniques used to create synthetic data—from basic stats to advanced AI like GANsReal-world applications in radiology, clinical trials, hospital simulation, and diabetes careHow synthetic data lays the foundation for future innovations like digital twinsCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

Have you ever wondered if your Apple Watch could one day be your personal health coach—or even your doctor? In this episode we unpack Apple’s bold moves in the healthcare space and what it means for the future of your well-being.Topics Covered:Apple’s vision to empower personal wellness through everyday techHow devices like the Apple Watch and AirPods are becoming medical toolsThe hidden power of Apple’s software platforms: HealthKit, ResearchKit, and CareKitApple’s global strategy for scaling health features worldwideHow Apple is prioritizing privacy and earning user trustWhat’s next: AI-driven health insights, new sensors, and telehealth integrationCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

AI in Healthcare: What the Headlines Don’t Tell You (AI-generated summary) In this episode, we take a critical look at the real state of AI in healthcare in 2025, beyond the hype and sensational headlines. Using insights from Stanford University's AI Index Report 2025, we explore what’s actually happening at the intersection of AI and medicine—from breakthroughs to limitations, and everything in between.Topics Covered:AI outperforms doctors in diagnostics—but struggles in real-world workflowsThe rise of medical foundation models like Med-Gemini and ChexAgentVirtual AI labs and the future of collaborative researchHow AI-powered scribes are reducing burnout and saving timeSynthetic data’s growing role in privacy-conscious innovationThe surge in FDA-approved AI tools—and what that really meansThe high cost and hallucination risks of advanced LLMsEthical progress in areas like bias, explainability, and consentIntegrating social determinants of health into AI models for equityThis episode was crafted using AI, delivering the key takeaways from this important update in a concise, educational, and accessible format—perfect for staying informed on the go.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, we break down the mind-bending world of quantum computing—no physics degree required. From spinning qubits to digital twins, we explore how this revolutionary tech could unlock breakthroughs in drug discovery, clinical trials, and personalized medicine.Topics Covered:What quantum computing actually is (in plain English)How superposition and entanglement make qubits so powerfulWhy quantum is perfect for simulating molecules in drug discoveryThe potential of digital twins and in silico trials for personalized careWhen and how quantum computers will be useful in real-world healthcareCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, we explore FUTURE-AI, a groundbreaking global framework designed to ensure that medical AI is not just innovative—but also ethical, transparent, and worthy of our trust. With input from 117 experts across 50 countries, this initiative aims to set the first internationally agreed-upon standards for responsible AI in healthcare.Topics Covered:What FUTURE-AI stands for—and why it mattersThe six core principles: Fairness, Universality, Traceability, Usability, Robustness, ExplainabilityHow the Delphi method shaped a global consensus on AI standardsThe difference between research AI tools and those ready for clinical useWhy this framework could shape the future of ethical AI in medicineCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode, we explore how artificial intelligence is stepping into the role of personal fitness coach—and actually outperforming humans at motivating us to move. We dive into the groundbreaking research behind MHC-Coach, a Stanford-developed AI model fine-tuned on behavioral psychology, designed to deliver just the right nudge at just the right time.Topics Covered:Why behavior change is one of healthcare’s biggest challengesHow the MHC-Coach uses the “Stages of Change” model to personalize motivationWhy AI-generated messages outperformed human-written ones in a large-scale studyThe role of Just-in-Time Adaptive Interventions (JITAI) in real-time health nudgesThe potential of AI as a scalable, empathetic health behavior coachCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.

Why do so many people use AI tools like ChatGPT and Google Gemini—but still hesitate to trust them with health advice? In this episode, we explore a recent national survey from KFF and JAMA that uncovers the surprising disconnect between how often we use AI and how little we trust it in matters of health.Topics Covered:Why only 5% of users are "very confident" in AI health adviceHow age influences both AI use and skepticismThe role of familiarity bias and the need for empathy in healthcareWhy data transparency and accountability are essential for trustWhat needs to change—education, regulation, and system design—for AI to earn our confidenceCredits:Production: MedShake StudioHost: Anca Petre✔ Stay connected and learn more:LinkedIn: linkedin.com/in/ancapetreWebsite: www.ancapetre.com & www.medshake-studio.comEmail: anca@medshakestudio.comMore about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting.Hosted on Ausha. See ausha.co/privacy-policy for more information.