PubMed Health⌕ Search

Biomedical subjects

T L Isenhour

Publications and source records attributed to T L Isenhour.

4 recordsLinked to original sources

Laboratory robotics and artificial intelligence.

Intelligent robots, which incorporate artificial intelligence in their controlling software, are the next step in bringing the laboratory robot to its full potential. The areas currently under study in our laboratory are improved user interfaces for laboratory robotics, the integration of object-oriented databases into robot control programs, and strategies to optimize multi-step procedures. The ultimate goal of this work is the Standard Robotics Method. The Standard Robotics Method we envision would allow a robotic method to be transferred from one laboratory to another.

Artificial Intelligence↗

ARTS: a flexible laboratory instrument control language.

A generalized computer program, ARTS (Analytical Robot Telecommunications Software), has been developed to give the research scientist more flexible control of laboratory robots and instruments. As a stand-alone program, ARTS is a complete laboratory control language. ARTS can also be an extension of other software in either a master or slave mode. As master, ARTS can call on other software to perform certain tasks. In a slave mode, ARTS can act as a sensory extension of the calling software. ARTS is a flexible laboratory control language capable of adapting to changing laboratory requirements.

Laboratories↗

On robust partial discriminant analysis as a decision-making tool with clinical and analytical chemical data.

Classification is one of the fundamental goals of science and is basic to the diagnosis of disease. Unfortunately, classifying objects (e.g., patients) on the basis of clinical and/or laboratory experimental observations into various groups can be difficult when the groups overlap or contain outlying points. Recently, Broffitt, Randles, and co-workers proposed a procedure, robust partial discriminant analysis (RPDA) for dealing with such problems, but testing of the procedure was limited to Monte Carlo simulation. In this study, RPDA was applied to real data, in order to compare its effectiveness with ordinary discriminant analysis, as well as to determine if RPDA was a suitable procedure to use to classify chemical compounds on the basis of experimental observations and as a tool in the diagnosis of disease (in particular, multiple sclerosis and thyrotoxicosis), with data based on experimental and clinical observations. The resulting RPDA classifications were an improvement over those obtained from ordinary discriminant analysis.

Aldehydes↗

Statistical analysis of DOE EML QAP data from 1982 to 1998.

The historical database from the Environmental Measurements Laboratory's Quality Assessment Program from 1982 to 1998 has been analyzed to determine control limits for future performance evaluations of the different laboratories contracted to the U.S. Department of Energy. Seventy-three radionuclides in four different matrices (air filter, soil, vegetation, and water) were analyzed. The evaluation criteria were established based on a z-score calculation.

Journal Article↗