Time Series

First image similarity search system on multiplexed immunofluorescence (mIF) tissue images

Interpretable change point detection method

This study finds that machine learning models trained on pooled electronic health record (EHR) data from multiple sites can generalize better to unseen data, while also revealing that data sharing partnerships may not always enhance performance, and certain baseline models continue to be competitive except in few-shot learning scenarios.

This research project aims to use data from wearable devices to assess delivery readiness during pregnancy on an individual basis. The study collects physiological data from pregnant women to identify specific maternal indicators that could predict delivery readiness and potentially reduce the risk of adverse outcomes for both mothers and infants.