Category: Abstracts & Publications

Abstracts & Publications

Evaluating High Human Milk vs. Low Human Milk Diets in Preterm Infants Using Digital Tools

PAS 2023
April 27 – May 1

May 1, 2023 No Comments

Faster Increase of Feedings in LBW Infants; Feasibility, Safety and Monitoring of Growth Milestones With Clinical Decision Support to Improve Compliance and Metrics

ASPEN
April 20 – 23

April 28, 2023 No Comments

Evaluating Racial Disparities in Care in the NICU Using Digital Tools and Electronic Health Record (EHR) Data

Hot Topics in Neonatology
December 4 – 7

December 8, 2022 No Comments

Digital tool supports Artificial Intelligence that targets improvement in nutrition-related outcomes

CHNC Symposium
October 31 – November 2

November 21, 2022 No Comments

Feeding Protocols: Evaluating Utilization and Outcomes using Digital Electronic Health Record (EHR) Tools

CHNC Symposium
October 31 – November 2

November 21, 2022 No Comments

Measure for success – proficient carving of data using a NutritionIQ application

PAS
April 21-25, 2022

February 28, 2022 No Comments

Digital tool supports Artificial Intelligence that targets improvements in nutrition-related outcomes

PAS
April 21-25, 2022

February 28, 2022 No Comments

Digital tool provides granular data insights on feeding and nutrition metrics and milestones to foster QI programs targeting improvements in nutrition-related outcomes and associated clinical practice

CHNC Annual Symposium
November 1-3, 2021

November 16, 2021 No Comments

EHR-integrated digital tool provides data insights on feeding and nutrition metrics and milestones and associated outcomes for preterm infants in the NICU

Pediatrics 2040
September 22-24, 2021

September 23, 2021 No Comments

Association between preterm infant gut microbiome and growth failure

PAS
April 30 – May 4, 2021

March 12, 2021 No Comments

Systematic evaluation of machine learning classification models to predict growth faltering in preterm infants

PAS
April 30 – May 4, 2021

March 12, 2021 No Comments

Hidden Markov Model for integrating longitudinal, clinical, and microbiome data to predict Growth Faltering in preterm infants

PAS Platform Presentation
by David Genetti
May 1, 2021

March 12, 2021 No Comments

Identifying Infants at Risk for Growth Failure in First Few Weeks of Life Based on their Microbiome Profile

Keystone Symposia on Molecular and Cellular Biology
The Microbiome: From Mother to Child
January 18-20, 2021

February 3, 2021 No Comments

Using Gut Microbiome Profiles to Predict Growth Outcomes in Preterm Infants

Hot Topics in Neonatology
December 6-10, 2020

December 16, 2020 No Comments

Narrative Dashboard Enables Unique Insights from Longitudinal Analysis of Preterm Infant Gut Microbiome, Feeding, Nutrition, and Growth Data

Hot Topics in Neonatology
December 6-10, 2020

December 16, 2020 No Comments

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Category: Abstracts & Publications

Evaluating High Human Milk vs. Low Human Milk Diets in Preterm Infants Using Digital Tools

Faster Increase of Feedings in LBW Infants; Feasibility, Safety and Monitoring of Growth Milestones With Clinical Decision Support to Improve Compliance and Metrics

Evaluating Racial Disparities in Care in the NICU Using Digital Tools and Electronic Health Record (EHR) Data

Digital tool supports Artificial Intelligence that targets improvement in nutrition-related outcomes

Feeding Protocols: Evaluating Utilization and Outcomes using Digital Electronic Health Record (EHR) Tools

Measure for success – proficient carving of data using a NutritionIQ application

Digital tool supports Artificial Intelligence that targets improvements in nutrition-related outcomes

Digital tool provides granular data insights on feeding and nutrition metrics and milestones to foster QI programs targeting improvements in nutrition-related outcomes and associated clinical practice

EHR-integrated digital tool provides data insights on feeding and nutrition metrics and milestones and associated outcomes for preterm infants in the NICU

Association between preterm infant gut microbiome and growth failure

Systematic evaluation of machine learning classification models to predict growth faltering in preterm infants

Hidden Markov Model for integrating longitudinal, clinical, and microbiome data to predict Growth Faltering in preterm infants

Identifying Infants at Risk for Growth Failure in First Few Weeks of Life Based on their Microbiome Profile

Using Gut Microbiome Profiles to Predict Growth Outcomes in Preterm Infants

Narrative Dashboard Enables Unique Insights from Longitudinal Analysis of Preterm Infant Gut Microbiome, Feeding, Nutrition, and Growth Data