Abstract

We are now welcoming registration for the third AI and Reproduction Workshop

Womb to World: Linking Prenatal Variability to Postnatal Outcomes using AI

Longitudinal monitoring of physiological characteristics and reproductive health can impact lifelong health, including menopause symptoms and timing, cardiovascular health and risk factors for cancer and other conditions.

Growing evidence supports the enduring role of fetal programming on predicting later child health. Specifically, just as monitoring during pregnancy can enable earlier identification of perinatal and newborn health, so too can heightened monitoring of reproductive health predict later risk for a range of health conditions.

Harmonizing reports of perinatal characteristics into the electronic health records of the fetus (growth measures, motor activity, and placental blood flow) and mother (hormonal, epigenetic and inflammatory biomarkers, endometrial features, nutrition/BMI) could lead to further identification of perinatal continuity and change.

Our workshop unites researchers applying AI and machine learning techniques to biomedical imaging and genetics datasets, with clinicians and researchers focused on preeclampsia, gestational diabetes, assisted reproduction and newborn health.

Registration open! https://forms.office.com/e/0r6GPuFSzR

The programme will be split into two sessions, with a networking lunch in between. Attendees are welcome to attend either or both sessions. (Timings may change slightly from those listed below).

Arrival from 9.30am for tea/coffee

10.00am: Prenatal effects on postnatal outcome

12.30pm Networking Lunch

1.30pm: Connections between reproductive health and lifelong health

3.00pm: Close