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Biomedical Signal Processing and Imaging
Clinical Decision Making
Computational Biophysics
Computational Genomics & Proteomics
Computational Neuroscience
Micro/Nanotechnology for Biology & Medicine
Quantitative Physiology: microfluidic laminar flow chamber - courtesy Carlos Dorta-Quinones and Noel Rayes-Gonzales
Sensory Communication
Synthetic Biology
Tissue Engineering

Quantitative Physiology

Courses: 6.021J, 6.022J, 6.023J, 6.561J

Denny Freeman
Al Grodzinsky
John Guttag
Thomas Heldt
Roger Mark

George Verghese


Engineering methods are applied to increase our understanding of biological systems ranging in scale from molecules to cells to tissues to organs. Examples include applications of

(1) circuit models of cells to account for signal processing properties of sensory receptor cells and neurons,

(2) feedback models of organs to account for normal and pathological cardiac responses,

(3) molecular distributions of charge in tissues to account for mechanical properties of cartilage.

Subjects in this area highlight how fundamentals in EECS can be as important to understand biological systems as they have been to understand artificial electrical, electronic, and computational systems.

 

 

 


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