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

"Real AI for Real people in the Real world. " "Right drug for Right patient at the Right time." We need more expert… twitter.com/i/web/status/1…

Modeling the dynamics of cell populations using birth-and-death process. One step closer to the understanding of dr… twitter.com/i/web/status/1…

Researchers @NKI_nl have developed a new combination treatment for patients with metastatic bowel cancer and a mut… twitter.com/i/web/status/1…

Sharing challenges and opportunities for functional precision medicine @emblbarcelona @TheSFPM twitter.com/kavican/status…