Prediction of late-onset preeclampsia using plasma proteomics: a longitudinal multi-cohort study.

Preeclampsia is a pregnancy disorder with substantial perinatal and maternal morbidity and mortality. Pregnant women at risk of preeclampsia would benefit from early detection for follow-up, timely interventions and delivery. Several attempts have been made to identify protein biomarkers of preeclampsia, but findings vary with demographics, clinical characteristics, and time of sampling.

Real-world Effectiveness of Lanadelumab in Hereditary Angioedema: Multi-country INTEGRATED Observational Study.

Background: Hereditary angioedema (HAE) is a rare genetic disease characterized by recurrent episodes of cutaneous or subcutaneous edema. There is clinical need for treatments that reduce the rate of HAE attacks in patients.

Objectives: Primary objectives were to evaluate the effectiveness of lanadelumab on attack free rate (AFR; proportion of patients who had zero HAE attacks), and on every two weeks (Q2W) and every four weeks (Q4W) adjustments on AFR.

Protein biomarker signatures of preeclampsia - a longitudinal 5000-multiplex proteomics study.

We aimed to explore novel biomarker candidates and biomarker signatures of late-onset preeclampsia (LOPE) by profiling samples collected in a longitudinal discovery cohort with a high-throughput proteomics platform. Using the Somalogic 5000-plex platform, we analyzed proteins in plasma samples collected at three visits (gestational weeks (GW) 12-19, 20-26 and 28-34 in 35 women with LOPE (birth ≥ 34 GW) and 70 healthy pregnant women). To identify biomarker signatures, we combined Elastic Net with Stability Selection for stable variable selection and validated their predictive performance in a validation cohort.

Electric vehicle charging dataset with 35,000 charging sessions from 12 residential locations in Norway.

This data article refers to the paper "A method for generating complete EV charging datasets and analysis of residential charging behaviour in a large Norwegian case study" [1]. The Electric Vehicle (EV) charging dataset includes detailed information on plug-in times, plug-out times, and energy charged for over 35,000 residential charging sessions, covering 267 user IDs across 12 locations within a mature EV market in Norway. Utilising methodologies outlined in [1], realistic predictions have been integrated into the datasets, encompassing EV battery capacities, charging power, and plug-in State-of-Charge (SoC) for each EV-user and charging session.

Angiogenic and vasoactive proteins in the maternal-fetal interface in healthy pregnancies and preeclampsia.

Background: Preeclampsia is characterized by maternal endothelial activation and placental dysfunction. Imbalance in maternal angiogenic and vasoactive factors has been linked to the pathophysiology. The contribution of the placenta as a source of these factors remains unclear.