omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
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TP078<br />
Regina Stoll<br />
University of Rostock<br />
Institute of Occupational Medicine<br />
St. Georg Str. 108<br />
Rostock18055 Germany<br />
regina.stoll@med.uni-rostock.de<br />
Fuzzy Based Medical Expert System <strong>for</strong> Automated Data Interpretation in Occupational<br />
Medicine<br />
185<br />
Co-Author(s)<br />
Mohit Kumar<br />
Norbert Stoll<br />
In medical data processing often there is a problem to <strong>for</strong>mulate algorithms <strong>for</strong> data interpretation. In occupational<br />
medicine i.e., a number of different parameters are acquired <strong>for</strong> giving an idea to an expert about the status of<br />
physical fitness. The paper describes an neuro-fuzzy approach as a data mining tool <strong>for</strong> determination of physical<br />
fitness of a patient on a virtual scale between 0 <strong>and</strong> 1. The advantage of this procedure is, that there is no need <strong>for</strong><br />
an analytical description of the complex functionality of physical fitness. So, the network is trained by original data<br />
<strong>and</strong> are able to fit in new data points on dem<strong>and</strong>. The data used in this system are respiratzory parameters <strong>and</strong><br />
heart rate parameters in combination with body type <strong>and</strong> body fat measurement data. By this way, the knowledge<br />
of an medical expert is combined with the individual parameter levels. The whole system is an artificial medical<br />
expert system <strong>for</strong> data interpretation.<br />
TP079<br />
Yu Suen<br />
Beckman Coulter, Inc.<br />
Biological Systems Operation<br />
4300 N. Harbor Boulevard<br />
Fullerton, Cali<strong>for</strong>nia 92834<br />
ysuen@beckman.com<br />
Co-Author(s)<br />
Keith Roby, Javorka Gunic<br />
Michael H. Simonian, Graham Threadgill<br />
An Automated, High Throughput Cell-Based Assay System Using the Biomek 3000<br />
<strong>Laboratory</strong> Aut<strong>omation</strong> Workstation <strong>and</strong> CellProbe HT Caspase 3/7 Whole Cell Assay<br />
Using Beckman Coulter’s CellProbe HT Caspase 3/7 Whole Cell Assay in primary or secondary screening provides<br />
quality in<strong>for</strong>mation on cellular responses to apoptotic regulators. This 35 µL total volume homogenous assay<br />
measures caspase 3/7 activities in a 384-well <strong>for</strong>mat. The high throughput <strong>and</strong> low sample volume cell-based assay<br />
is achieved using the Biomek 3000 <strong>Laboratory</strong> Aut<strong>omation</strong> Workstation <strong>for</strong> cell preparation, apoptosis induction <strong>and</strong><br />
substrate addition. The Affinity Multi-Mode Reader (Cambridge Research Institute, Boston) is an ultra-sensitive<br />
screening plat<strong>for</strong>m that uses a focused laser <strong>and</strong> CCD camera <strong>for</strong> fluorescent intensity detection. The caspase<br />
3/7 activity is inducer dose-dependent <strong>and</strong> responder cell number-dependent. Using this system, a strong signal<br />
<strong>and</strong> a z´ factor of 0.5 were achieved with a minimal cell number. The dose response of DEVD-CHO inhibition of<br />
caspase 3/7 activities was used to demonstrate the superior sensitivity <strong>and</strong> specificity of this system. The Biomek<br />
3000 <strong>Laboratory</strong> Aut<strong>omation</strong> Workstation facilitated CellProbe HT Caspase 3/7 Whole Cell Assay implementation,<br />
reduced the chance of contamination <strong>and</strong> minimized the intensive requirement of sterile skills. The automated<br />
CellProbe assay can be used <strong>for</strong> high throughput screening of drug c<strong>and</strong>idates <strong>for</strong> apoptosis regulators.<br />
POSTER ABSTRACTS