Adi Laurentiu Tarca

This study identifies MNRR1 as a critical driver of TNBC growth and metastasis, showing it can be targeted by existing drugs.

This study evaluates large language models' ability to generate predictive modeling code for reproductive health using standardized datasets, finding R code generation more successful than Python and some models matching top DREAM challenge teams.

The paper characterizes the urinary microbiota of pregnant women using catheter urine, clean catch urine, and vaginal swabs, finding that Foley catheter urine better captures low-abundance bladder microbes.

The paper develops predictive models for preterm birth using maternal blood multi-omics data, finding transcriptomic and proteomic markers can predict gestational age and spontaneous preterm birth with high accuracy.

The paper predicts cellular positions in the Drosophila embryo using scRNA-seq data by benchmarking methods against spatially annotated genes.

The paper investigates ACE2 and TMPRSS2 expression in human placenta across pregnancy stages and finds negligible co-expression, suggesting SARS-CoV-2 is unlikely to infect placenta via canonical entry mediators.

The paper uses scRNA-seq to analyze placental tissues from term and preterm births, identifying cell type differences and transcriptional signatures associated with labor.