Our mission is to develop mathematical, statistical and informatics tools to tackle biomedical questions that may potentially lead to breakthroughs in drug discovery. We are focusing on network pharmacology modeling, aiming at a systems-level understanding of how cancer signaling pathways can be inhibited by synergistic drug combinations through multi–target perturbations. These methods offer an improved efficiency to identify more effective cancer treatments for personalized medicine.
@NetPharMed

Second session of #oncosys science day with @NetPharMed presentation on #PersonalizedMedicine. Great talks and disc… twitter.com/i/web/status/1…

Thanks to Jeffrey for sharing the #AML data. Congratulations! twitter.com/OHSUKnight/sta…

Check the COMMENTARY of our recent article in EBioMedicine: Integration of CRISPR-Cas9, shRNA with other genomic da… twitter.com/i/web/status/1…

Biggest congratulations to @JehadAldahdooh! Life is hard and may you are still blessed with joy and peace. https://t.co/FAqbIfniui