Neuro-Genomic AI Ethical ai for fetal development monitoring through heart rate variabi

Neuro-Genomic AI is a research platform that uses machine learning to analyze fetal heart rate variability (HRV) and assess autonomic nervous system development. Unlike traditional fetal monitoring that only measures heart rate, our system provides insights into neural complexity (Sample Entropy), vagal tone (RMSSD), and autonomic balance (LF/HF ratio) — all with transparent uncertainty visualization.

Why it has potential:

1,800+ fetal recordings analyzed from PhysioNet datasets

21,600+ HRV data points extracted

Clinically validated with 89% correlation between RMSSD and gestational age

Ethics-first design with confidence intervals on every prediction

Cloud-native platform ready for Oracle Cloud Infrastructure deployment

Innovation Hub acceptance at Kirinyaga University (2026)

Oracle meeting scheduled for infrastructure mentorship

The platform addresses a critical gap: 98% of fetal monitoring devices measure only heart rate, missing the rich diagnostic infor