Predicting pregnancy complications with high-plex proteomics
A SomaLogic boutique webinar
Predicting pregnancy complications with high-plex proteomics
The interdisciplinary team, comprising 10-15 scientists and clinician-scientists, is dedicated to advancing diagnostics and therapeutics aimed at enhancing maternal and fetal care. Their primary focus lies in the development of interventions for conditions such as ectopic pregnancy and preeclampsia, alongside the creation of diagnostics to prevent stillbirth. In this webinar, Dr. Lucy Bartho delves into the transformative role of SomaLogic’s SomaScan® assay in their biomarker discovery endeavors. She will also elaborate on how this technology has facilitated the development of clinical tools for the early identification of preeclampsia and fetal growth restriction.
Lucy Bartho, PhD
Dr. Lucy Bartho is a postdoctoral fellow from the Translational Obstetrics Group at the University of Melbourne, co-led by Professor Stephen Tong and Professor Tu’uhevaha Kaitu’u-Lino. The team of 10-15 scientists and clinician-scientists is dedicated to developing diagnostics and therapeutics aimed at enhancing the care of pregnant women and their fetuses. The research arising from the team focuses on identifying novel biomarkers for predicting pregnancy complications, developing treatments for ectopic pregnancy and preeclampsia, and elucidating the pathogenesis of these conditions.
Predicting pregnancy complications with high-plex proteomics
A presentation by Lucy Bartho, PhD
More webinars
WebinarOpening the black box: Building and evaluating machine learning models for proteomics
Machine learning can be a powerful way to extract multivariate signals from high-dimensional proteomics data, but only when models are built and evaluated with rigor. In this on-demand webinar, explore a practical framework for developing predictive and explanatory models, with an emphasis on study design choices that help prevent data leakage, reduce overfitting, and improve reproducibility.
WebinarBeyond the trees: See the bigger biological picture with pathway enrichment analysis
Proteomic data holds enormous potential—but the biology is rarely contained in a single protein. When you’re handed a list of differentially abundant proteins, the next challenge is turning that list into a clear, testable story about mechanisms and processes.
WebinarFinding the signal: Identifying reproducible biomarkers in high-plex proteomics
In biomarker discovery, the challenge is rarely a lack of data. Rather, it is knowing how to separate meaningful biological signal from technical distraction. This webinar focuses on how to use univariate analysis as a practical and powerful entry point for biomarker discovery in high-plex proteomics studies.