MLTC Update Oct 12, 2023 1 min read electronic health records, multimorbidity We continue to contribute to the MUM-PREDICT and OPTIMAL project over the last six months including: Artificial Intelligence for Multiple Long-term conditions (AIM): A consensus statement from the NIHR AIM consortia Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019 The development of a core outcome set for studies of pregnant women with multimorbidity Detection and evaluation of signals associated with exposure to individual and combination of medications in pregnancy: a signal detection study protocol electronic health records multimorbidity Christopher Yau Professor of Artificial Intelligence I am Professor of Artificial Intelligence. I am interested in statistical machine learning and its applications in the biomedical sciences. Related New paper with Breaking Free Online on substance abuse MIE 2023 success MUM-PREDICT: HDRUK Team of the Year