Tech Anatomy - HealthTech Massively Simplified

✔ Stay connected and learn more:
LinkedIn: linkedin.com/in/ancapetre

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

Email: [email protected]

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.

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 communication

Credits:
Production: MedShake Studio
Host: Anca Petre

Hosted 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 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.

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: [email protected]

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.

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: [email protected]

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.