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Terrific paper by post-doc Alex Clark now out at @PLOSCompBiol. This tutorial enables students and biologists to simulate biological networks with our tool Netflux, no programming required! #sysbio journals.plos.org/ploscompbiol/a…
Jeff Saucerman
@jsauce7
Professor of Biomedical Engineering and Cardiovascular Medicine. Systems biology to discover drugs for heart disease. my opinions. Fun: 🥾 🏊♀ 📷 🛶 🐕🦺
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Undergrads: come to @UVABME *this summer* for our @NSF-funded #REU in multi-scale bioengineering! engineering.virginia.edu/department/bio…
Thanks for featuring our drug discovery research! Original article @PNASNews here: pnas.org/doi/10.1073/pn…
www.pnas.org Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy | PNAS Cardiomyocyte hypertrophy is a key clinical predictor of heart failure. High-throughput and AI-driven screens have the potential to identify drugs ... UVA researchers develop AI tool to advance modern healthcare wric.com/news/virginia-…View quoted post on X
Thanks for featuring our latest paper @PNASNews! With our AI tool LogiRx, we discovered that the antidepressant Lexapro attenuates cardiomyocyte hypertrophy. Validated in cells, mice, and 2 patient observational cohorts.
The tool predicts who may benefit and how drugs work in the body. 29news.com/2025/03/18/new…View quoted post on X
Happy to share our paper, "Logic-based machine learning predicts how escitalopram (LexaPro) attenuates cardiomyocyte hypertrophy" in @PNASNews, with @tayloreggertsen with @JoshTravers89, @McKinseyLab, & @MattWolfMDPhD. Validated in cells, mice & patients. pnas.org/doi/10.1073/pn…
