Research Spotlight
October 3, 2025

Early prediction and fairness evaluation of perinatal depression using EHR A study of 18,000 Pregnancies

Developed models using UCLA EHR data to predict perinatal depression in 18,000 pregnancies, assessing fairness across ethnoracial groups and social determinants.

Developed models using UCLA EHR data to predict perinatal depression in 18,000 pregnancies, assessing fairness across ethnoracial groups and social determinants.

‍

Read Next Publication

Predicting in‐hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach

Machine learning based pipeline to accurately predict mortality in heart failure patient cohorts.
Research Spotlight
October 30, 2025
/ Get Started

Let's Accelerate Scientific Innovation Together

Join leading researchers, startups, and institutions advancing real-world science.
Get in TouchPartner with Us
We believe research isn’t just about data—it’s about delivering actionable insights that fuel progress and change lives
Laboratory & research template
Alex Tran
Founder & Chief Scientist
Discuss your use case with us