Premature baby nutrition in most NICUs is standardized -- same fortification dose for every infant, regardless of gestational age, weight, or clinical profile. Isabel Hoffmann, CEO of TellSpec and Preemie Health, built a 30-second sensor that analyzes human milk and generates a personalized fortification prescription matched to each premature baby's clinical data. In this episode of Stories in Life Sciences, we cover: ✅Personalized neonatal nutrition: why standardized fortification over- or under-doses preterm infants ✅Human milk analysis: how near-infrared spectroscopy reads fat, protein, and fatty acids in 30 seconds ✅Federated learning in healthcare: training NICU AI models without sharing patient data across hospitals ✅AI model certification for medical devices: how the FDA freeze-and-resubmit process works ✅Synthetic data in medtech: how TellSpec trained early models using peer-reviewed literature ✅Neonatal intensive care technology: the gap between developed and developing country NICU standards ✅Human milk research gap: why we know less about human milk than dysfunctional erectile dysfunction and what that reveals about research priorities ✅Founder journey: from children's educational software and Apple bundling deals to neonatal AI Who this episode is for: Founders and researchers in medtech, neonatal care, digital health, AI in healthcare, and life sciences commercialization. ----------------------------------------------- Guest: Isabel Hoffmann, CEO - Tellspec & Preemie Health https://tellspec.com https://www.preemiesensor.com/ https://www.linkedin.com/in/isabelhoffmann https://www.linkedin.com/company/tellspec Host: Christopher Wilson, Founder - MedAxis AI www.medaxisai.org https://www.linkedin.com/in/christopher-wilson-medaxisai https://www.linkedin.com/company/medaxisai ----------------------------------------------- Subscribe for new episodes: https://www.youtube.com/@MedAxisAI #NeonatalCare #PrematureBaby #HealthcareAI #HumanMilk #MedTech #Biotech #LifeSciences #FederatedLearning

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