Clinical Discovery



Clinical Discovery Program


The purpose of the Clinical Discovery Program is to rapidly translate and test novel diagnostic and therapeutic approaches from bench to bedside. This Program focuses primarily on technologies previously developed at CSB but also applies other new technologies as they are related to human biology. The primary fields of interest are currently in cancer dx, clinical imaging and systems analyses. Investigators in this program are practicing clinician scientists from Massachusetts General Hospital and collaborators from other Harvard Medical School teaching hospitals. The program is primarily funded through grants from NIH.

Recent Publications (more...)

Malka R, Nathan DM, Higgins JM
Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring
Sci Transl Med. 2016;8:359ra130 - PMID: 27708063
Global Cardiovascular Magnetic Resonance Registry (GCMR) Investigators, Kwong RY, Petersen SE, Schulz-Menger J, Arai AE, Bingham SE, Chen Y, Choi YL, Cury RC, Ferreira VM, Flamm SD, Steel K, Bandettini WP, Martin ET, Nallamshetty L, Neubauer S, Raman SV, Schelbert EB, Valeti US, Cao JJ, Reichek N, Young AA, Fexon L, Pivovarov M, Ferrari VA, Simonetti OP
The global cardiovascular magnetic resonance registry (GCMR) of the society for cardiovascular magnetic resonance (SCMR): its goals, rationale, data infrastructure, and current developments.
J Cardiovasc Magn Reson. 2017;19(1):23 - PMID: 28187739 - PMCID: PMC5303267

Recent News (more...)

2013-12-30: Mukesh G. Harisinghani, MD, has been promoted to Professor of Radiology, Harvard Medical School. Congratulations Mukesh!
2012-11-28: Sandeep Hedgire, MD receives the Cum Laude award for his education exhibit at the 98th Scientific Assembly and Annual Meeting of the Radiological Society of North America.
2009-08-08: New Boston Museum of Science's Virtual Exhibit features work of Drs. Weissleder and Harisinghani on the design of a clinical trial to determine how iron-oxide nanoparticles could enhance a diagnostic image produced by an MRI machine to the extent that the spread of cancer could be accurately assessed.