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.