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Enhancing Pre-eclampsia Surveillance with Machine Learning will be delivered on Thursday 27 March from 4pm to 5pm by Prof Peter von Dadelszen who will discuss the strengths and limitations of the miniPIERS, fullPIERS, & PIERS-ML time-of-disease risk assessment tools to guide shared decision-making for women with pre-eclampsia followed by Dr Tünde Montgomery-Csobán who will talk about The PIERSdynamic tool: optimising shared decision-making with women during expectant care of pre-eclampsia.
