AI-Driven Fetal Monitoring Dashboard for Proactive Prenatal Care

Revolutionizing maternal and fetal health care with AI-driven insights for personalized prenatal management.

About NeoGuard

NeoGuard Illustration

NeoGuard is a cutting-edge tool designed to revolutionize maternal and fetal care. Our dashboard leverages advanced AI models and data analytics to predict the risk of Fetal Growth Restriction (FGR) at birth, empowering healthcare professionals with insights to provide personalized and proactive care throughout the pregnancy journey.

NeoGuard combines ultrasound biometry, Doppler blood flow, and maternal serum biomarkers to deliver a high level of accuracy in FGR prediction, ensuring early detection and intervention. With comprehensive data analysis, NeoGuard enables clinicians to make evidence-based decisions to enhance patient outcomes.

Trusted by medical professionals, NeoGuard is poised to improve the health and safety of both mothers and their babies.

Key Features

AI-Powered Insights

Accurately predict fetal growth restriction using advanced AI.

Serum Biomarkers

Utilizes key biomarkers for enhanced prediction accuracy.

Comprehensive Data Analysis

Leverages data from leading institutions for early FGR detection.

Personalized Prenatal Management

Tailored care for better maternal and fetal outcomes.

Our Latest Research

Research Graph

We are excited to share our latest publication in Prenatal Diagnosis, highlighting our advancements in AI-driven fetal monitoring.

Read the Full Paper

Meet Our Team

Dr. Saw Shier Nee

Dr. Saw Shier Nee

Principal Investigator & Senior Lecturer, FSKTM, Universiti Malaya

Dr. Neha Sethi

Dr. Neha Sethi

Consultant Obstetrician & Gynaecologist, UMMC

Dr. Rahmah bt Saaid

Dr. Rahmah bt Saaid

Consultant Obstetrician & Gynaecologist, UMMC

Associate Prof. Dr. Sofiah

Associate Prof. Dr. Sofiah bt Sulaiman

Consultant Obstetrician & Gynaecologist, UMMC

Associate Prof. Dr. Azanna

Associate Prof. Dr. Azanna bt Ahmad Kamar

Consultant Neonatologist, UMMC

Prof. Loo Chu Kiong

Prof. Loo Chu Kiong

Advisor & Professor, FSKTM, Universiti Malaya

Deng Jiaxuan

Deng Jiaxuan

AI Research Engineer, FSKTM, Universiti Malaya

Disclaimer

This tool is for certified healthcare professionals and is provided 'as is' for informational purposes. Use it with independent professional judgment and at your own risk.

Our Affiliations

Universiti Malaya Medical Centre Universiti Malaya

Acknowledgement

TED Grant Logo

This work was supported in part by eDANA TED 1 Research Grant