|Articles|May 6, 2003

Computer-assisted characterization of autoantibody patterns may provide powerful tool for glaucoma diagnosis

Ft. Lauderdale--Analysis of autoantibody repertoires using advanced pattern-matching algorithms, such as artificial neural networks, may be a useful technique for diagnosis of glaucoma, said Franz H. Grus, MD, of the University of Mainz, Germany.

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Computer-assisted characterization of autoantibody patterns may provide powerful tool for glaucoma diagnosis

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