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PubMed · 3855333

Glaucoma assessment by microcomputer.

Abstract

An automated system for comprehensively monitoring glaucoma patients is described. This economic and practical microcomputer data system has been designed to be thoroughly 'clinician oriented' through the collaborative efforts of ophthalmological and computer specialists. It incorporates novel and efficient methods for transferring both automated and manually recorded perimetry data into analysable digital form. The system is inexpensive, simple to use, maintains safe records, allows thorough analysis of patient data, and can considerably reduce the administrative load on ophthalmological clinics.

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BibTeXRIS

W E Sponsel, A J Hobley, A H Williams, N L Dallas. 1985. Glaucoma assessment by microcomputer.. https://pubmed.ncbi.nlm.nih.gov/3855333/

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Structure-based inhibitor design.

Time and costs associated with the discovery of new drugs have been significantly reduced by enzyme structure-based approaches to the discovery of new chemotherapeutic agents. However, fundamental components of the overall approach continue to rely on technologies which, by their nature, involve relatively random processes (i.e., combinatorial chemistry and high-throughput screening). Thus, the efficiency of the drug discovery process potentially could be further improved through better use of structural information. In this regard, three-dimensional structures of enzymes are now being solved at high resolution and/or in conformations that provide data that should be more useful for inhibitor design or discovery. Scientists are beginning to appreciate the importance of water as a possible competitor of inhibitors for binding to target enzymes. New computational algorithms are improving the efficiency of identifying flexible inhibitors from among the large numbers of compounds in chemical databases. Also, tools of molecular genetics together with structures of target enzymes are likely to be used more frequently in dealing with the development of resistance to novel chemotherapeutic agents. Instead of detailing success stories in structure-based drug discovery, the following article considers how future efforts to discover or design new drugs may increasingly rely on information about molecular targets and less on data acquired via approaches involving random methodologies.

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