Machine learning made ridiculously simple (part 2)
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 by Ausha. See ausha.co/privacy-policy for more information.