Cheng Wang

[Institute for Human Genetics at UCSF @IHG_at_UCSF]

https://t.co/TeDmYadwza
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, @jingjingSF PhD and a member of @IHG_at_UCSF

[UCSF Benioff SF @UCSFChildrens]

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. https://t.co/rW0ZP4PAwu

[UCSF Broad Stem Cell @UCSFstemcell]

New work from @jingjingSF @wang156658 + 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 @UCSF

[Cheng Wang @wang156658]

Pleased to annonce that our work from @jingjingSF @UCSFstemcell was reported by UCSF news https://t.co/8vPjIZIcDA

[UCSF Broad Stem Cell @UCSFstemcell]

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 @jingjingSF + team

[Li Wang @LiWang_neuro]

A beautiful study about how genomics and epigenomics can be used to understand complex diseases. Congrats! @wang156658 @jingjingSF

[Science Advances @ScienceAdvances]

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. https://t.co/4bUykcvLes

[Cheng Wang @wang156658]

@ScienceAdvances Check our most recent work from Li Lab @jingjingSF