Biomedical Signal Processing and Imaging
Clinical Decision Making
Computational Biophysics
Computational Genomics & Proteomics
Computational Neuroscience
Micro/Nanotechnology for Biology & Medicine
Quantitative Physiology
Sensory Communication
Synthetic Biology
Tissue Engineering


Activity in the life sciences is spread throughout electrical engineering and computer science at MIT.  In these pages we highlight the diversity of courses, research, and personnel involved in these areas.

Bioscience (including both fundamental biology and medicine) is arguably the most important engineering system that mankind wishes to model, understand, and engineer.  EECS provides a rich set of analytical tools to tackle these systems.  As was evident in the computer revolution of the last century, the strength of EECS is our ability to work in both hardware (biological measurement) and software (biological modeling), using abstraction to make complex systems tractable. 

In these pages we show how EECS is applied to both bio-hardware (e.g., cells, tissues, organisms) and bio-software (e.g., proteomes).  We also show how EECS uses both "traditional" hardware (e.g., micro/nanotechnology) and software (e.g., computation biophysics) to model, understand, and engineer biological systems.

 

 

 


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