NeoNUTRI vs PHVD

NeoNUTRI is an advanced educational program designed to support healthcare professionals in delivering safe, individualized, and developmentally appropriate nutrition for preterm and critically ill infants. NeoNUTRI is brought to you by the GFCNI Academy and supported by the Nestlé Nutrition Institute. NeoNUTRI introduces fresh content, expert-led modules, real case studies, and family perspectives to strengthen clinical decision-making across the neonatal care continuum. Through engaging, interactive learning, participants gain the latest evidence-based knowledge to improve growth, outcomes, and long-term neurodevelopment for vulnerable infants.

PHVD is an educational and reference tool for qualified neonatal healthcare professionals working with post-haemorrhagic ventricular dilatation in preterm infants. Enter serial cranial ultrasound measurements — ventricular index (VI) and anterior horn width (AHW) — alongside post-menstrual age. Plot measurement trends and view the published green, yellow and red risk framework adapted from El-Dib et al. (2020), with TOD excluded in this version. Clinical signs are included in the published criteria. FEATURES • VI and AHW trend graphs using the authors’ supplementary reference curve • Published risk criteria and management guidance for reference • On-device camera recognition of measurement numbers, with manual assignment and verification • Resistive Index recorded as supplementary information • Save an assessment image to Photos • English, French, Spanish and Portuguese interfaces • Local measurement history PHVD does not provide a diagnosis or an independent treatment recommendation. It does not replace clinical assessment, imaging review or your unit’s protocol. Every measurement and output must be independently verified by a qualified healthcare professional. PRIVACY Measurement history and image processing remain on your device. The app has no account, login or analytics and does not transmit your entered measurements. A disclaimer must be accepted before use. References to El-Dib et al. (2020) and Brouwer et al. (2012) are available in the app.