Biomedical Engineering Reference
In-Depth Information
This problem was known, for a long time, to be refractory to solutions based on sequen-
tial algorithm. The success of DNA computing offers another reason of optimism in future
sensor designs. This approach allows mixing of parallel and sequential processes in com-
putation. Exactly how this insight can be translated into novel sensor designs depends on
ingenuity of future investigators/inventors. It is not something I can explicitly describe
ahead of (its) time.
Acknowledgments
The author acknowledges the contribution of the following individuals whose experi-
mental work on bR was cited: Man Chang, Albert Duschl, Brian Fuller, Filbert Hong,
Sherie Michaile, Baofu Ni, Ting Okajima, Michelle Petrak, and Wita Wojtkowski. The
author wishes to thank his collaborators: Janos Lanyi, Lowell McCoy, Mauricio Montal,
and Richard Needleman. The author is indebted to Professor David Mauzerall of The
Rockefeller University, under whose supervision the work on magnesium porphyrins-
containing BLM was performed. By setting personal examples, Professor Mauzerall
proved to be instrumental in the author's subsequent pursuit of the problem of human
creativity. The author is also indebted to the late Professor Michael Conrad of Wayne State
University for his profound influence on the author's work on biocomputing.
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