Informatics
Figure 3
Visualising correlations in pathology data
one can zoom in or zoom out on the data repre- sented from body systems, to tissues, to findings. Some may prefer to see this data represented as numbers in a table with the added benefit of con- ditional colouring to draw one’s eye to incidences higher or lower than the norm. Calculating correlation statistics is another abil-
ity of such tools. For example, clinical pathology data can be correlated against organ weight data to help the scientist concentrate analysis on areas of high correlation. All of these visualisation types are being
explored as pathologists are now having such data readily made available to them. The goal is to empower the pathologists to take full advantage of the standardised data across studies, compounds and animal models in order to find toxicologic effects or candidate treatments for disease targets.
Example 3: Study monitoring Study monitoring and study analysis can also be enhanced by the ability of SEND datasets to be used with a visualisation tool. The standardised data types and terms and the ability to receive in a dataset all the measurement types on a study make possible the development of tools to view the data in ways that the study director finds most con- ducive to their analysis. This graphic (Figure 3) shows clinical pathology,
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clinical observations, body weights and micropathology on the same page. The clinical pathology is displayed as a scatter
diagram with time as the X axis (the study visit day, ie the scheduled study day is used for time) and the test value as the Y axis. The clinical obser- vation data is shown as a sparkline, with time along the X axis and incidence as the Y axis. Each sparkline is for a different clinical observation. The body weight data is also shown as a scatter
diagram, with time as the X axis, using the same timescale as the clinical pathology data. The Y axis is the body weight value. Colour is used to show the different dose groups. The micropathology data is shown as a heat map. Each section down the graph represents a different dose group. The map is categorised by tissue and then the standard finding terminology. The charts are linked in that selections on one
graph change the data displayed in the other graphs. This is done so that a selection of clinical pathology data points of interest will then filter the clinical observations, body weights and micropathology findings to those same animals. If the lab performing the study has the ability to
deliver interim SEND datasets, the sponsor can view the data as the study progresses. This can be useful in looking for test article-related effects or adverse events that might show up early in the
Drug Discovery World Winter 2018/19
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