For a list of publications see Adi Tarca’s Google Scholar profile or MyNCBI profile
- Organized the DREAM Preterm Birth Prediction Challenge and identified maternal blood transcriptomic signatures for pregnancy dating and assessment of the risk of spontaneous preterm birth
- Described maternal blood proteomic and transcriptomic changes during normal pregnancy
- Presented amniotic fluid cell-free RNA signatures to assess fetal development during normal pregnancy
- Identified maternal blood proteomic changes that predict future onset of preeclampsia and fetal death
- Created a customized standard for fetal weight and demonstrated improved detection of fetuses at risk of perinatal death (link to Fetal Growth online calculator)
- Developed and assessed methods for gene set and pathway analysis with omics data in the top tier of the most frequently used Bioconductor software packages
- Developed award-winning pipelines to build molecular classifiers from bulk and single-cell genomics data
Our paper "Personalized assessment of cervical length improves prediction of spontaneous preterm birth: a standard and a percentile calculator" was published in @AJOG_thegray.
— Adi Tarca (@AdiTarca) September 11, 2020
Calculator link: https://t.co/x8e5YtPvKa
@DGudicha @AJOGEd_RR @WSUResearch @waynemedicine #PRBteam pic.twitter.com/CcGPh5qUoh
Video summary of our PlOS One paper "The plasma metabolome of women in early pregnancy differs from that of non-pregnant women" pic.twitter.com/Ky73tL7qY9
— Adi Tarca (@AdiTarca) December 23, 2019