An integrative #MachineLearning analysis reveals the genetic architecture in preterm labor, unveils its druggable genome, and provides a generalizable analytical framework for studying complex human diseases. scim.ag/5AD

A beautiful study about how genomics and epigenomics can be used to understand complex diseases. Congrats! Cheng Wang Jingjing Li

Integrative #MachineLearning analysis reveals genes associated with preterm labor + identifies potential drug targets. The work not only contributes to addressing preterm labor but also establishes a valuable method for studying other complex diseases. Congrats Jingjing Li + team

Pleased to annonce that our work from Jingjing Li UCSF Broad Stem Cell was reported by UCSF news ucsf.edu/news/2024/01/4…

New work from Jingjing Li Cheng Wang + team reveals who can benefit from preterm birth therapy, calling for a precision-medicine approach that could identify targets for novel treatments. To conduct the study, researchers developed a machine-learning framework. More via UC San Francisco

Preterm birth affects 1 in 10 infants, with few treatment options. But a UCSF-led study shows how precision medicine in pregnancy could change that. “This study calls for a precision framework for future drug development,” senior author Jingjing Li says. ucsfh.org/3ucUSk8

ucsf.edu/news/2024/01/4… UCSF researchers call for precision-medicine approach that could identify targets for novel treatments. “This study calls for a precision framework for future drug development,” said the study’s senior author, Jingjing Li PhD and a member of Institute for Human Genetics at UCSF