Tom Deisboeck has spent over 25 years in life sciences research. He holds an MD (Dr. med) from the Technical University of Munich as well as an MBA from Massachusetts Institute of Technology (MIT). Dr. Deisboeck is an Associate Professor of Radiology (PT) at Massachusetts General Hospital and Harvard Medical School. Working for both the NIH/NCI and the EU, Dr. Deisboeck’s teams have been involved in pioneering research in the field of computational cancer systems biology.
MD, Technical University of Munich
MBA, Massachusetts Institute of Technology
1. Deisboeck TS, Zhang L, Yoon J, Costa J. In silico cancer modeling: is it ready for prime time? Nat Clin Pract Oncol. 2009;6(1):34-42.
2. Deisboeck TS, Wang Z, Macklin P, Cristini V. Multiscale cancer modeling. Annu Rev Biomed Eng. 2011;13:127-55.
3. Wang Z, Deisboeck TS. Mathematical modeling in cancer drug discovery. Drug Discov Today. 2014;19(2):145-50.
Other notable publications include:
1. Guiot C, Degiorgis PG, Delsanto PP, Gabriele P, Deisboeck TS. Does tumor growth follow a “universal law”? J Theor Biol. 2003;225(2):147-51.
2. Sole RV, Deisboeck TS. An error catastrophe in cancer? J Theor Biol. 2004;228(1):47-54.
3. Chen LL, Blumm N, Christakis NA, Barabasi AL, Deisboeck TS. Cancer metastasis networks and the prediction of progression patterns. Br J Cancer. 2009;101(5):749-58.
4. Deisboeck TS, Couzin ID. Collective behavior in cancer cell populations. Bioessays. 2009;31(2):190-7.
5. Lucia U, Deisboeck TS. The importance of ion fluxes for cancer proliferation and metastasis: A thermodynamic analysis. J Theor Biol. 2018;445:1-8.