SEND Explorer® is a validated, web-based application designed by scientists to provide advanced viewing, data summarization, and visualization capabilities for nonclinical study data. SEND Explorer can consume data in SEND 3.0/3.1 format, in a variety of non-SEND data formats (including interim study formats), and via direct connection to a data collection system. SEND Explorer Software empowers scientists to interact with their study data, visualize treatment and/or time-related patterns, and communicate relationships with other scientists. SEND Explorer allows organizations leverage their investment in creating SEND datasets for regulatory submissions by making study data and associated visualizations readily accessible to scientists for internal decision-making.
Certara also offers toxicology, nonclinical and other IND-enabling support with our drug development consultancy to help you reach your goals. Contact us to learn how our tools and quantitative approaches have helped thousands of clients.
Learn MoreDiscover new capabilities and improved performance in SEND Explorer v10.0
Our latest release includes an update of our coding and visualization technologies along with new features that were developed with significant input from the SEND Explorer user community.
Single-Study Enhancements
- Filter using advanced (Boolean) operators in single-study data grids and summary views
- Display sparkline visualizations and statistical flags for Summary by Group view
- Support for ad hoc Trial Summary fields
- Calculate and plot % change from baseline for the cross-over study design
- Flag timepoints on which dosing occurred in line graph visualizations
- Toggle between original and standardized findings in Severity Heatmap and CTD display
- Support additional options for customization of single-study visualizations
Multi-Study Enhancements
- Support hierarchical x-axis in multi-study visualizations, greatly expanding the flexibility of these plots
- Filter visualizations based on any study metadata, including ad hoc Trial Summary fields
- Implement accordion controls in options panel to hide/show sections
- Support numeric endpoints from additional domains in Scatterplot Timecourse visualization
- Allow change from baseline values to be plotted in Scatterplot Timecourse and Correlations Matrix plots
- Support additional options for customization of multi-study visualizations
Support bulk studies loading to watchfolder from the front end
Visualize patterns and trends over time
SEND Explorer provides an “easy-button” which scientists can use to generate single-study plots from nonclinical study data to reveal dose-response and timecourse patterns including:
- Summary View for Numeric Data to visualize patterns and trends in numeric data with summary statistics, scatterplot, outof-concurrent-control range indicator, and % control mean calculations
- Summary View thumbnail plots to display distribution of subject data across groups
- Line Graphs to visualize patterns of group means and individual subject data over time
- Clinical Observations Timecourse to reveal dose-related patterns and trends in clinical observations over the course of a study
- Severity Heatmap to visualize patterns and trends in both incidence and severity of pathology findings
- Cross-Domain Subject View to put a subject’s data into perspective as compared to its own group and control group, on a single day or over time
Gain insights from multi-study visualizations
SEND Explorer provides powerful yet intuitive cross-study querying capabilities and multi-study visualizations.
- Correlations Matrix to reveal pairwise correlations of endpoints for selected subjects, identifying those with histopathology findings in tissues of interest
- Multi-Study Scatterplot Timecourse to compare and contrast dose-response and timecourse relationships in a selected endpoint for a group of related studies
- Multi-Study Histopathology Barchart to visualize prevalence and severity of histopathology findings across studies or in untreated control subjects
- Historical Control Distribution to reveal the distribution of numeric data in control subjects across studies, stratified by selected fields of interest
Choose the SEND Explorer option that fits your exact needs
There are 4 different options for SEND Explorer software.
SEND Explorer: Single-study functionality, ability to review and query SEND data, generate visualizations to identify trends; and review all data for a single subject to identify patterns across endpoints of interest, at a given time point and over time
SEND Explorer Plus: Additionally includes a SEND-optimized database to extend functionality to the multi-study environment and provides powerful yet intuitive cross-study querying capabilities and multi-study visualizations
SEND Explorer Gold: Additionally includes a data warehouse infrastructure which allows organizations to combine legacy and other non-SEND data sources with their SEND data
SEND Explorer Warehouse: Additionally supports custom domains and provides term reconciliation functionality, record override and the ability to create and populate ad hoc study metadata fields for querying data and filtering visualizations
Having worked in the Pharmaceutical industry her entire career, Joyce has developed a passion for partnering with scientists to design tools which allow them to interact with their study data, to visualize patterns and trends, and to communicate relationships with other scientists. She has been thrilled to see SEND Explorer help organizations embrace a culture of analytic excellence and data-informed decision-making, putting the right tools in the hands of bench scientists and drug development team leaders alike.
Mike Ward is the technical project lead for SEND Explorer. Prior to joining INDS, now part of Certara, Mike created HyperTerminal, the telnet application distributed in Microsoft’s Windows 95 Operating System. Additional experience includes being the open source author of VSColorOutput, a top-ten plugin for Microsoft’s Visual Studio IDE. Mike has over 40 years of experience on numerous platform technologies and received a bachelor of science degree in engineering from The University of Michigan.