Friday 13 March 2026 9:30am to 3:00pm
The Pitt Building, Trumpington Street, Cambridge CB2 1RP
About
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.
This workshop is organised by the ai@cam-funded Womb to World project in collaboration with Cambridge Reproduction. Workshop organisers: Dr Staci Weiss (Computer Science & Technology), May Levin (Computer Science & Technology), Christina Rozeik (Cambridge Reproduction)
PROGRAMME TIMINGS - see full programme
09:30
Arrival tea and coffee
09:50
Welcome and introduction
10:00
Session 1: prenatal effects on postnatal outcomes
Chair: May Levin (Computer Science & Technology)
Screening for adverse outcomes in the Pregnancy Outcome Prediction studies
Professor Ulla Sovio (Obstetrics & Gynaecology, University of Cambridge)
Impact of high-altitude pregnancy on long-term cardiovascular risk in the mother and child
Professor Dino Giussani (Physiology, Development & Neuroscience, University of Cambridge)
How does maternal obesity impact on the offspring brain to alter long-term feeding behaviour?
Dr Laura Dearden (Institute of Metabolic Science, University of Cambridge)
Dr Gavin Kelsey (Epigenetics, Babraham Institute)
11:00
Break
11:30
Session 1 cont.
An exploration of the effects of perinatal stress and household context on infant behaviour and functional neuroimaging within the PIPKIN study
Matthew Weatherhead (Psychology, University of Cambridge)
CamAI Womb to World: 4D Ultrasound and the 'Large Language' of parent-child attachment following natural conception vs assisted reproduction
Dr Staci Meredith Weiss (Computer Science & Technology, University of Cambridge/University of Roehampton)
12:00
Session 2: opportunities
Chair: Christina Rozeik (Cambridge Reproduction)
12:30
Buffet lunch
13:30
Session 3: AI approaches for lifelong health
Chair: Dr Staci Meredith Weiss (Computer Science & Technology, University of Cambridge/University of Roehampton)
Development and testing of a co-designed AI chatbot to increase uptake of vaccinations in ethnically and socio-economically diverse pregnant women: the AIMI (AI for Maternal Immunisation) feasibility study
Dr Mohammad Sharif Razai (Public Health & Primary Care, University of Cambridge)
Before the dataset: historical inequalities and the interpretation of prenatal risk in black maternal health in Britain
Dr Tolulope Esther Fadeyi (Centre for the History of Science, Technology & Medicine, University of Manchester)
Attune In: A doctor-built hybrid wellbeing platform, democratising access to connection education for parents and caregivers
Dr Gauri Verma Seth (Brain-Based Connections)
Harnessing unused full blood count data to predict pregnancy outcomes
Dr Andrew Gibbs (Health Informatics, University College London Hospital)
Rebecca Wray (Oncology, University of Cambridge)
14:50
Reflections
15:00
Close